Noise-Resistant Image Encryption Scheme for Medical Images in the Chaos and Wavelet Domain
Open accessAbstract
In this paper, a noise-resistant image encryption scheme is proposed. We have used a cubic-logistic map, Discrete Wavelet Transform (DWT), and bit-plane extraction method to encrypt the medical images at the bit-level rather than pixel-level. The proposed work is divided into three sections; In the first and the last section, the image is encrypted in the spatial domain. While the middle section of the proposed algorithm is devoted to the frequency domain encryption in which DWT is incorporated. As the frequency domain encryption section is a sandwich between the two spatial domain encryption sections, we called it a ”sandwich encryption.” The proposed algorithm is lossless because it can decrypt the exact pixel values of an image. Along with this, we have also gauge the proposed scheme's performance using statistical analysis such as entropy, correlation, and contrast. The entropy values of the cipher images generated from the proposed encryption scheme are more remarkable than 7.99, while correlation values are very close to zero. Furthermore, the number of pixel change rate (NPCR) and unified average change intensity (UACI) for the proposed encryption scheme is higher than 99.4% and 33, respectively. We have also tested the proposed algorithm by performing attacks such as cropping and noise attacks on enciphered images, and we found that the proposed algorithm can decrypt the plaintext image with little loss of information, but the content of the original image is visible.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper proposes a medical image encryption scheme that combines a cubic-logistic map, discrete wavelet transform, and bit-plane extraction in a “sandwich” spatial–frequency–spatial architecture, producing three RGB cipher images from one grayscale image. It reports lossless decryption and strong statistical/security performance, including entropy above 7.99, correlation near zero, NPCR above 99.4%, and UACI above 33.
Key findings
- Cipher-image entropy is reported as greater than 7.99, with an average of approximately 7.9983; correlation values are “very close to zero.”
- NPCR and UACI are reported as higher than 99.4% and 33 in the abstract, and later as above the expected 99.6073% and 33.4351%, respectively.
- The scheme is described as lossless: for tested images, MSE is zero and PSNR is infinity, and the plaintext–decrypted difference matrix contains all zeros.
- Key-space analysis uses nine key parameters with sensitivity 10^-15, giving a total keyspace of 10^15 × 9, approximately 2^135; noise and cropping attacks still allow decryption with some information loss but visible content.
Methods
- Design: a three-section cryptosystem. Section 1 performs spatial-domain bit-plane encryption by permuting only MSB bit-planes; Section 2 performs frequency-domain encryption by applying DWT and XOR-masking only the LL sub-bands; Section 3 recombines bit-planes into three RGB cipher images. Decryption reverses the process and requires all three cipher images.
- Data/sample: 8-bit grayscale CT medical images, binary images, and single-gray-level white/black images; simulations were run in MATLAB on an i3-3110M CPU @ 2.400 GHz with 8 GB RAM.
- Analysis: key sensitivity and keyspace, entropy, correlation, energy, contrast, histogram, MSE/PSNR, NPCR/UACI, cropping and noise attacks, chi-square, NIST SP 800-22, classical attack resistance, and processing-time comparisons.
Limitations
- The paper does not state a formal limitations section. It reports that noise and cropping attacks cause some information loss, though the decrypted content remains visible, and that reconstruction requires all three cipher images.
- Evident from the text: several quantitative comparison claims refer to tables whose numeric values are not included in the provided text, so those specific comparisons cannot be independently verified here.
- Evident from the text: future work states an aim to introduce a machine-learning scheme to enhance security and encryption speed, implying the current method is not yet presented as optimized for all practical real-time applications.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 18 cited sources checked · 0 supported · 0 flagged
- Findingown data
The unified average change intensity (UACI) for the proposed encryption scheme is higher than 33.
“the number of pixel change rate (NPCR) and unified average change intensity (UACI) for the proposed encryption scheme is higher than 99.4% and 33, respectively.”
Quote in the paperSubstantial claim - Findingown data
The number of pixel change rate (NPCR) for the proposed encryption scheme is higher than 99.4%.
“the number of pixel change rate (NPCR) and unified average change intensity (UACI) for the proposed encryption scheme is higher than 99.4% and 33, respectively.”
Quote in the paperSubstantial claim - Findingown data
The entropy values of cipher images generated from the proposed encryption scheme are greater than 7.99.
“The entropy values of the cipher images generated from the proposed encryption scheme are more remarkable than 7.99”
Quote in the paperSubstantial claim - Findingown data
The correlation values of cipher images generated from the proposed encryption scheme are very close to zero.
“while correlation values are very close to zero.”
Quote in the paperSubstantial claim - Findingown data
The energy values of the cipher images generated through the proposed scheme are much closer to zero and lower than the other encryption schemes.
“For the cipher images generated through the proposed scheme, the energy values are much closer to zero and lower than the other encryption schemes.”
Quote in the paperSubstantial claim
- Findingown data
C-LM is highly sensitive to both initial conditions.
“which means that C-LM is highly sensitive to both the initial conditions.”
Quote in the paperSubstantial claim - Findingown data
The decrypted image is almost the same as the plain image after noise attack.
“The decrypted image is almost the same as the plain image.”
Quote in the paperSubstantial claim - Findingown data
The cipher images generated after making a minor change in the original keys are completely different from the cipher images generated by employing the correct keys.
“the cipher images which are generated after making a minor change in the original keys are completely different from the cipher images generated by employing the correct keys.”
Quote in the paperSubstantial claim - Findingown data
The random sequence generated in the proposed work has passed all NIST tests.
“Table 14 shows the NIST test values and it can be seen that the random sequence generated in the proposed work has passed all NIST tests.”
Quote in the paperSubstantial claim - Findingown data
The proposed image encryption scheme is noise-resistant.
“In this paper, a noise-resistant image encryption scheme is proposed.”
Quote in the paperSubstantial claim - Findingreasoning
When subtracting the decrypted image from the plain image, all entries in the resultant difference matrix become zero.
“I.e., when we subtract the decrypted image from the plain image, all the entries in the resultant difference matrix (D mat ) become zero.”
- Also stated in: § G. LOSSLESS ANALYSIS · plain
“After decryption, we have subtracted the plain images from the corresponding decrypted images; all the numeric values in the resultant matrix are zero, which shows that all the information is reconstructed.”
Quote in the paperSubstantial claim - Also stated in: § G. LOSSLESS ANALYSIS · plain
- Findingown data
After decryption in cropping attack, some meaningful information is lost.
“Like in the noise attack analysis, after decryption, some meaningful information is also lost in this particular analysis”
Quote in the paperNot a substantial claim - Findingown data
The resultant decrypted image occurs completely different from the original image when slightly different keys are used.
“The resultant decrypted image occurs completely different from the original image.”
Quote in the paperSubstantial claim - Findingown data
The compared encryption algorithms have MSE and PSNR values other than zero and infinity.
“In contrast, the compared encryption algorithms have values other than zero and infinity.”
Quote in the paperSubstantial claim - Findingnone given
The sensitivity of each key is 10^-15.
“As the sensitivity of each key is 10 -15 , which means that each key has a space of 10 15 .”
Quote in the paperSubstantial claim - Findingnone given
The proposed algorithm produces three RGB cipher images corresponding to one grayscale image.
“In this paper, efficient image encryption is proposed to produce three RGB cipher images corresponding to one grayscale image.”
Quote in the paperSubstantial claim - Findingown data
The proposed encryption scheme has an average entropy approximately 7.9983.
“Table 8 presents the entropy values in which we can see that our encryption scheme has an average entropy is approximately 7.9983”
Quote in the paperSubstantial claim - Findingown data
The proposed encryption scheme's average entropy is higher than other comparable schemes.
“which is higher than the other comparable schemes.”
Quote in the paperSubstantial claim - Findingown data
The resultant decrypted image is very much similar to the plain image after cropping attack.
“The resultant decrypted image is very much similar to the plain image.”
Quote in the paperSubstantial claim - Findingown data
The information can still easily be visualized after cropping attack.
“but the information can still easily be visualized.”
Quote in the paperSubstantial claim - Findingown data
The information in the decrypted image can be visible after noise attack.
“Form Figure 19, it can be seen that the information in the decrypted image can be visible.”
Quote in the paperSubstantial claim - Findingown data
The LSB bit-planes contain less than 6% information of the plaintext image.
“The reason is that the LSB bit-planes contain less than 6 % information of the plaintext image, as shown in Table 1.”
Quote in the paperSubstantial claim - Findingown data
The values of ID, MD and Dp are comparatively better than the existing schemes.
“From Table 10, it can be analyzed that the values of I D , M D and D p are comparatively better than the existing schemes.”
Quote in the paperSubstantial claim - Findingown data
The variance values of the enciphered image are minimal compared to the plaintext image.
“From Table 10, it can be seen that the variance values of the enciphered image are minimal when compares to the plaintext image”
Quote in the paperSubstantial claim - Findingown data
The proposed algorithm is a bit faster than the other algorithms.
“we found that the proposed algorithm is a bit faster than the other algorithms.”
Quote in the paperNot a substantial claim - Findingown data
The chi-square values obtained for the proposed algorithm are all less than the theoretical value 293.24783.
“It can be seen from Table 13 that the chi-square values obtained for the proposed algorithm are all less than the theoretical value 293.24783.”
Quote in the paperSubstantial claim - Premisecitation
Chaos-based image encryption schemes are significantly secure due to complexity of structures, high sensitivity to initial condition, and generation of highly random sequences.
“Among all these approaches, it is observed that the chaos-based image encryption schemes are the significantly secure encryption algorithms due to its tremendous properties such as the complexity of structures, highly sensitive to initial condition and generating of highly random sequences [12].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The proposed algorithm can recover every single bit from the cipher image.
“The proposed algorithm is a lossless encryption algorithm because it can recover every single bit from the cipher image.”
Quote in the paperSubstantial claim - Interpretationreasoning
Applying complex mathematical operations on the high-frequency sub-bands (LH, HL, and HH) may increase encryption computational time.
“which may cause an increase in the encryption computational time by applying some complex mathematical operations sub-bands (LH, HL and HH).”
Quote in the paperSubstantial claim - Interpretationreasoning
Each key has a space of 10^15.
“As the sensitivity of each key is 10 -15 , which means that each key has a space of 10 15 .”
Quote in the paperSubstantial claim - Premisecitation
The ECC-based scheme in [51] is a very time-consuming cryptosystem because of several rounds.
“The proposed scheme through ECC is a very time-consuming cryptosystem because of several numbers of rounds.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
It is more important to secure the low-frequency sub-bands than the high-frequency sub-bands.
“So it is more important to secure the low-frequency sub-bands than the highfrequency sub-bands”
Quote in the paperSubstantial claim - Interpretationreasoning
The proposed algorithm is a lossless encryption algorithm.
“The proposed algorithm is a lossless encryption algorithm because it can recover every single bit from the cipher image.”
Quote in the paperSubstantial claim - Interpretationown data
The proposed encryption algorithm is fully capable of encrypting single gray level images properly.
“From Figures 15 and 16, it can be seen that the proposed encryption algorithm is fully capable of encrypting the single gray level images properly.”
Quote in the paperSubstantial claim - Interpretationown data
The proposed algorithm can significantly reduce the energy value of the cipher image.
“This shows that the proposed algorithm can significantly reduce the energy value of the cipher image.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is nearly impossible to execute ciphertext only attack in the proposed encryption algorithm.
“With the permutation using chaos and diffusion using XOR operation and discrete wavelet transform, it is nearly impossible to execute this kind of attack in the proposed encryption algorithm.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The total number of possible keys is approximately equal to 2^135.
“This means the total number of possible keys will be approximately equal to 2 135 .”
Quote in the paperSubstantial claim - Interpretationreasoning
The proposed algorithm is suitable for both image and text encryption.
“The proposed algorithm is suitable for both image and text encryption because, during the decryption process, every single bit can be recover.”
Quote in the paperSubstantial claim - Premisenone given
The scrambling sequence for different images can be different by using different inputs to the random sequence generator.
“The scrambling sequence for different images can be different by using different inputs to the random sequence generator.”
Quote in the paperSubstantial claim - Interpretationreasoning
The proposed encryption algorithms can resist the chosen plaintext attack.
“The proposed encryption algorithms can resist the chosen plaintext attack in two aspects.”
Quote in the paperSubstantial claim - Interpretationreasoning
The proposed algorithm can resist the chosen ciphertext attack.
“which implies that our algorithm can resist the chosen ciphertext attack.”
Quote in the paperSubstantial claim - Interpretationreasoning
The pixel diffusion phase makes the proposed encryption algorithm resist the attack of selecting plaintext.
“Secondly, in the pixel diffusion phase, each pixel is diffused by deploying DWT and XOR operations, making the proposed encryption algorithm resist the attack of selecting plaintext.”
Quote in the paperSubstantial claim - Interpretationown data
The proposed encryption algorithm is robust against entropy attacks.
“From these analyses, one can conclude that the proposed encryption algorithm is robust against the entropy attacks.”
Quote in the paperSubstantial claim - Interpretationreasoning
The keystream restored with one chosen-plaintext cannot decipher other messages.
“Hence, the keystream restored with one chosen-plaintext cannot decipher other messages”
Quote in the paperSubstantial claim - Premisenone given
In the proposed encryption algorithm, the keystream relies on the private key.
“In the proposed encryption algorithm, the keystream relies on the private key.”
Quote in the paperNot a substantial claim - Premisecitation
Using C-LM over a logistic map gives better results than the chaotic logistic map.
“Using C-LM over logistic map [57] is that C-LM is the modified form of a logistic map and gives better results than the chaotic logistic map.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [57]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Wen et al. used a chosen-plaintext attack to break IEC-BPMC.
“In [42], Wen et al. has done cryptanalysis on the encryption scheme which was proposed in [41].The author used a chosenplaintext attack methodology to break the IEC-BPMC.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 22
- Classified as probably not a substantial claim. 18
May combine two claims.
FindingreasoningThe proposed algorithm is lossless because it can decrypt the exact pixel values of an image.
“The proposed algorithm is lossless because it can decrypt the exact pixel values of an image.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAfter cropping and noise attacks on enciphered images, the proposed algorithm can decrypt the plaintext image with little loss of information, but the content of the original image is visible.
“We have also tested the proposed algorithm by performing attacks such as cropping and noise attacks on enciphered images, and we found that the proposed algorithm can decrypt the plaintext image with little loss of information, but the content of the original image is visible.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenFor equation 1, the initial values x0 in (0,1) and phi in [1.42,1.60) are those in which the system comes into the chaotic state and can generate values in (0,1].
“The intervals mentioned above are those in which the system 1 comes into the chaotic state and can generate the values ranges (0 1].”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAs phi increases, C-LM transitions from constant to periodic to chaotic behavior.
“When the value of ϕ is from 1 to 1.2, the generated stream is constant in which the one value is repeating again and again.While increasing the value of ϕ from 1.2 to 1.3, two possible values are generated, which are repeating.After ϕ = 1.38, the system bifurcates into four different trajectories.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenDuring the decryption process, every single bit can be recovered.
“The proposed algorithm is suitable for both image and text encryption because, during the decryption process, every single bit can be recover.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenC-LM is highly dependent on the parameter phi.
“The C-LM is highly dependent on the parameter ϕ.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe MSB bit-plane (8th) occupies the highest information, the LSB bit-plane (1st) contains the least information, and information gradually decreases from MSB to LSB.
“Among all the eight bitplanes, the MSB bit-plane (8 th bit-plane) occupies the highest information while the least information present in the LSB bit-plane (1 st bit-plane).The information of the plain image gradually decreases from the last MSB bit-plane to the first LSB bit-plane.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe MSE and PSNR values of the proposed algorithm for all images are zero and infinity respectively.
“From Table 7, it can be seen that the MSE and PSNR values of the proposed algorithm for all the images are zero and infinity respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe proposed encryption algorithm can generate NPCR and UACI values above 99.6073% and 33.4351% respectively.
“We found that the proposed encryption algorithm can generate the values of NPCR and UACI are above 99.6073% and 33.4351% respectively”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe MSB bit-plane contains more than 50% of the information of the plain image, and the LSB bit-plane contains less than 1%.
“From Table 1, it can be seen that the MSB bit-plane (8 th bit-plane) contained more than 50% of the information of the plain image, which is the highest information occupied bitplane among all other extracted bit-planes.The least information present in the LSB is bit-plane (1 st bit-plane), which is less than 1%.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe proposed encryption algorithm's NPCR and UACI values are higher than the compared schemes.
“and higher than the compared schemes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe proposed encryption scheme is robust against cropping attack, noise attack, and brute force.
“The proposed algorithm is also tested against different attacks such as cropping attack, noise attack and brute force to prove that our encryption scheme is robust against different attacks.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenThe security of the proposed encryption is enhanced significantly by its three-section design.
“It has three different sections, based on which the security of proposed encryption is enhanced significantly.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
Findingown dataThe CLM is able to generate more random values.
“it can be seen that the CLM is now able to generate more random values.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenIn every level of DWT decomposition, the sub-band image size becomes half of the previous sub-band.
“in every level of decomposition using DWT, the sub-bands image's size becomes half of the previous sub-band.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationImages have more redundancy, bulk data, and high correlation, so traditional cryptosystems such as AES and DES are not suitable for them.
“Compare with the textual information; images have more redundancy, the bulk of data and high correlation in which traditional cryptosystems such as Advanced Encryption Standard (AES), Data Encryption Standard (DES) [3], [4] are not suitable.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [4]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningBit-level encryption may produce better-encrypted images because it encrypts the image at the bit level, the smallest element in an image.
“Bit-level encryption may produce better-encrypted images as it encrypts the image at bit-level, which is the smallest element in an image.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationAny encryption scheme can be considered more secure if it encrypts digital information at the smallest level.
“Any encryption scheme can be considered more secure if it encrypts the digital information at the smallest level [25].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDifferent chaotic structures such as logistic map, gauss iterated, and sine map have some mapping drawbacks.
“Different chaotic structures like a logistic map, gauss iterated and sine map has some mapping drawbacks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationWang et al. reduced encryption computational time but security was compromised.
“In [39], Wang et al. put his effort to achieve the confusion and diffusion simultaneously to reduce encryption computational time.Although the authors were successful in reducing the processing time, but the security was compromised a bit.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenA plain image can be recovered in bit-plane encryption methods by combining only four MSB bit-planes with little information loss.
“A plain image can be recovered in the bit-plane encryption methods by combining only four MSBs bit-planes with little information loss.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningThe LL sub-band consists of low frequencies and contains most of the information of the plain image, while the LH, HL, and HH sub-bands contain very little information.
“LL sub-band consists of low frequencies, which means most of the information of the plain image present in the LL sub-band while very little information lies in the other three sub-bands (LH, HL, HH).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe gray values in the ciphertext image obtained through the proposed algorithm are uniformly distributed and pass the chi-square test.
“Therefore, the gray values in the ciphertext image obtained through the proposed algorithm are uniformly distributed and pass the chi-square test.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningBit-level substitution cannot be effective because bit-planes consist of only two values, 0 and 1.
“But in the case of bit-level substitution, it cannot be effective because bit-planes consist of only two values 0 and 1.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationC-LM is a one-dimensional modified version of a chaotic logistic map and can be used for random number generation, key image generation, and keystream generation.
“C-LM is a one-dimensional modified version of a chaotic logistic map and can be used for various purposes such as random number generation, key image generation and keystream generation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [58]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningAdopting the four-MSB recovery methodology achieves high security with less processing time, but the encryption scheme would be lossy, which is not suitable where exact recovery of information is required.
“By adopting this methodology, one can achieve high security with less processing time, but that encryption scheme would be lossy, which is not suitable for those applications where we required the exact recovery of information.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe GA-based scheme in [55] had interpretation problems of function and selection of ciphering.
“In the GA algorithm, there were some interpretation problems of function and selection of ciphering.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe homomorphic cryptosystem in [52] provides quite better security but does not provide high computational speed.
“Although the proposed algorithm's security was quite better, it does not provide high computational speed.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe GGH-based scheme in [54] cannot resist the chosen-Cipher attack.
“The only flaw in this scheme was, it cannot resist the chosen-Cipher attack.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenIf bit-planes are extracted using equation 5, equation 2 can be used to compose the plain image from the eight extracted bit-planes.
“Here, one thing can be noted that if we extract the bit-planes by using equation 5, equation 2 can be used to composition the plain image from the eight extracted bit-planes.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningThe encryption scheme proposed in [45] was based only on the diffusion mechanism and may be considered insecure because it does not satisfy Shannon's criteria.
“While the encryption scheme proposed in [45] was based only on the diffusion mechanism, and it may consider an insecure scheme because this scheme does not satisfy Shannon's criteria.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [45]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [21]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationZhou et al. used 5 rounds rather than a single encryption round to enhance security.
“The encryption scheme is consists of 5 rounds rather than single encryption round to enhance the security.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationShafique et al.'s IEC-BPMC applied permutation only on the most significant bitplanes to reduce computational time, but security was compromised and it was broken in [42].
“Shafique et al.Proposed a bit-level encryption scheme (IEC-BPMC) [41], in which the author(s) applied the permutation function only on the most significant bitplanes to reduce the computational time.”
- Also stated in: § II. RELATED WORK AND PRELIMINARIES · plain
“Although the author(s) has designed the encryption schemes for real-time applications, security was compromised and it was a break in [42].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [41]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [42]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Also stated in: § II. RELATED WORK AND PRELIMINARIES · plain
May combine two claims.
Interpretationown dataThe proposed encryption scheme is suitable for gray scale as well as binary images.
“The proposed encryption scheme is suitable for gray scale as well as binary images.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningIf the HL and HH sub-bands are ignored while taking the IDWT of the LL and LH sub-bands, the original image can still be recovered with little loss of information, but perceptually there will be no difference between the plain and recovered image.
“if we ignore the HL and HH sub-bands while taking the IDWT of LL and LH subbands, the original image can still recover with little loss of information, but perceptually there will be no difference between the plain and the recovered image.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThere is always a tradeoff between security and encryption computational time; increasing the number of rounds enhances security but compromises processing time, which is not suitable for real-time applications.
“There is always a tradeoff between security and encryption computational time.Obviously, as we increase the number of rounds, the security of the encryption scheme enhances.Nevertheless, with the enhancement of security by increases the number of rounds, we must compromise on the processing time, which is not suitable for real-time applications.”
Quote in the paperSubstantial claim
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
To ensure the reliability of an image encryption algorithm, its ability to withstand noise and occlusion attacks and decrypt the plaintext image from the altered cipher image needs to be tested.
“To ensure the reliability of an image encryption algorithm, its ability to withstand such attacks and decrypt the plaintext image from the altered cipher image needs to be tested [60].”
From Image Encryption Algorithms: A Survey of Design and Evaluation Metrics (2024) · cites this paper as [60]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Specified permutation key violates its stated minimum
MajorThe key-stream formula requires K num to be at least 258, but the stated value of the corresponding key K num1 is 99. The reported key therefore does not satisfy the algorithm's own parameter constraint.
“key -stream = uint8(mod(floor((stream) * K num ), MN )); K num ≥ 258. (6)”
“K num1 = 99.000000000000001”
Decryption cites the information-percentage formula for bit-plane extraction
MinorThe decryption instructions say to extract bit-planes using equation (4), whereas the paper explicitly identifies equation (5) as the bit-plane extraction formula. Equation (4) is introduced for calculating percentage information.
“Now Extract the bit-planes from all the RGB components using equation (4).”
“For the extraction of the bit-planes, equation 5 can be considered:”
Image reconstruction cites the chaotic-map equation
MinorThe decryption instructions say equation 1 combines bit-planes to recover the image, but equation 1 defines the cubic-logistic map, not bit-plane composition.
“Now combine the bit-planes using equation 1 to recover the original image.”
“x n+1 = ϕx n (1 -x n )(2 + x n ) (1”
Figure caption gives a different constant chaotic parameter
MinorThe text specifies φ = 1.46 for the comparison of two x0 values, while the corresponding Figure 4 caption prints φ = 0.1.46.
“while ϕ is constant, i.e. ϕ = 1.46”
“while ϕ is constant for both the signals i.e ϕ = 0.1.46.”
Original and perturbed keys are reported as identical
MinorThe key-sensitivity analysis presents these values as keys obtained after adding 10−15. The key-space section then lists the same values as the keys themselves, leaving no stated difference between the original and perturbed keys used for the sensitivity result.
“we have added a minute number (10 -15 ) in each key.i.e.K i = 1.490000000000001,K ii = 0.232000000000001, K num1 = 99.000000000000001”
“The numeric values of these keys are as under: K i = 1.490000000000001 K ii = 0.232000000000001 K num1 = 99.000000000000001”
Cites
A new 1D chaotic system for image encryption
Zhou, Y., Bao, L., & Chen, C. L. P. (2014) · Signal Processing · doi:10.1016/j.sigpro.2013.10.034 · Cited by 859 · see citing works
A chaos-based symmetric image encryption scheme using a bit-level permutation
Zhu, Z.-L., Zhang, W., Wong, K.-W., & Yu, H. (2011) · Information Sciences · doi:10.1016/j.ins.2010.11.009 · Cited by 662 · see citing works
The Data Encryption Standard (DES) and its strength against attacks
Coppersmith, D. (1994) · IBM Journal of Research and Development · doi:10.1147/rd.383.0243 · Cited by 616 · see citing works
A novel bit-level image encryption algorithm based on chaotic maps
Xu, L., Li, Z., Li, J., & Hua, W. (2015) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2015.09.007 · Cited by 566 · see citing works
A symmetric image encryption algorithm based on mixed linear–nonlinear coupled map lattice
Zhang, Y.-Q., & Wang, X.-Y. (2014) · Information Sciences · doi:10.1016/j.ins.2014.02.156 · Cited by 566 · see citing works
A chaotic image encryption algorithm based on perceptron model
Wang, X., Yang, L., Liu, R., & Kadir, A. (2010) · Nonlinear Dynamics · doi:10.1007/s11071-010-9749-8 · Cited by 449 · see citing works
Li, Y., Wang, C., & Chen, H. (2016) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2016.10.020 · Cited by 420 · see citing works
A new hybrid digital chaotic system with applications in image encryption
Alawida, M., Samsudin, A., Teh, J. S., & Alkhawaldeh, R. S. (2019) · Signal Processing · doi:10.1016/j.sigpro.2019.02.016 · Cited by 401 · see citing works
Wang, X.-Y., & Gao, S. (2020) · Information Sciences · doi:10.1016/j.ins.2019.08.041 · Cited by 353 · see citing works
Medical image encryption using high-speed scrambling and pixel adaptive diffusion
Hua, Z., Yi, S., & Zhou, Y. (2018) · Signal Processing · doi:10.1016/j.sigpro.2017.10.004 · Cited by 350 · see citing works
Multi chaotic systems based pixel shuffle for image encryption
Huang, C. K., & Nien, H. H. (2009) · Optics Communications · doi:10.1016/j.optcom.2009.02.044 · Cited by 325 · see citing works
An Efficient Image Encryption Scheme Based on the LSS Chaotic Map and Single S-Box
Lu, Q., Zhu, C., & Deng, X. (2020) · IEEE Access · doi:10.1109/access.2020.2970806 · Cited by 281 · see citing works
A novel image encryption algorithm based on a 3D chaotic map
Kanso, A., & Ghebleh, M. (2012) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2011.11.030 · Cited by 267 · see citing works
An image compression and encryption algorithm based on chaotic system and compressive sensing
Gong, L.-H., Qiu, K., Deng, C., & Zhou, N. (2019) · Optics & Laser Technology · doi:10.1016/j.optlastec.2019.01.039 · Cited by 258 · see citing works
Chaos based efficient selective image encryption
Khan, J. S., & Ahmad, J. E. (2018) · Multidimensional Systems and Signal Processing · doi:10.1007/s11045-018-0589-x · Cited by 227 · see citing works
Image and video encryption using SCAN patterns
Maniccam, S. S., & Bourbakis, N. (2003) · Pattern Recognition · doi:10.1016/j.patcog.2003.08.011 · Cited by 223 · see citing works
A combination chaotic system and application in color image encryption
Parvaz, R., & Zarebnia, M. (2017) · Optics & Laser Technology · doi:10.1016/j.optlastec.2017.10.024 · Cited by 219 · see citing works
A chaotic image encryption algorithm based on 3-D bit-plane permutation
Gan, Z.-H., Chai, X.-L., Han, D.-J., & Chen, Y.-R. (2019) · Neural Computing and Applications · doi:10.1007/s00521-018-3541-y · Cited by 209 · see citing works
An image encryption scheme based on rotation matrix bit-level permutation and block diffusion
Zhang, Y., & Xiao, D. (2013) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2013.06.031 · Cited by 200 · see citing works
A Review of Compressive Sensing in Information Security Field
Zhang, Y., Zhang, L. Y., Zhou, J., Liu, L., Chen, F., & He, X. (2016) · IEEE Access · doi:10.1109/access.2016.2569421 · Cited by 189 · see citing works
Circular inter–intra pixels bit-level permutation and chaos-based image encryption
Diaconu, A.-V. (2016) · Information Sciences · doi:10.1016/j.ins.2015.10.027 · Cited by 186 · cited 1× · see citing works
“In [46], the author(s) has presented an encryption scheme which also does not satisfy the theory presented in [21].”
BackgroundAn image encryption scheme based on elliptic curve pseudo random and Advanced Encryption System
Toughi, S., Fathi, M. H., & Sekhavat, Y. A. (2017) · Signal Processing · doi:10.1016/j.sigpro.2017.06.010 · Cited by 169 · see citing works
Image encryption and the fractional Fourier transform
Hennelly, B. M., & Sheridan, J. T. (2003) · Optik · doi:10.1078/0030-4026-00257 · Cited by 166 · see citing works
A novel colour image encryption scheme using rectangular transform-enhanced chaotic tent maps
Wu, X., Zhu, B., Hu, Y., & Ran, Y. (2017) · IEEE Access · doi:10.1109/access.2017.2692043 · Cited by 150 · see citing works
Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices
Nematzadeh, H., Enayatifar, R., Motameni, H., Guimarães, F. G., & Coelho, V. N. (2018) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2018.05.009 · Cited by 149 · see citing works
A novel plaintext-related image encryption scheme using hyper-chaotic system
Li, Z., Peng, C., Li, L., & Zhu, X. (2018) · Nonlinear Dynamics · doi:10.1007/s11071-018-4426-4 · Cited by 142 · see citing works
Chaotic substitution for highly autocorrelated data in encryption algorithm
Anees, A., Siddiqui, A. M., & Ahmed, F. (2014) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2014.02.011 · Cited by 140 · see citing works
A novel bit-level color image encryption using improved 1D chaotic map
Pak, C., An, K., Jang, P., Kim, J., & Kim, S. (2018) · Multimedia tools and applications · doi:10.1007/s11042-018-6739-1 · Cited by 135 · see citing works
The fast image encryption algorithm based on lifting scheme and chaos
Zhang, Y. (2020) · Information Sciences · doi:10.1016/j.ins.2020.02.012 · Cited by 132 · see citing works
An image encryption scheme using reverse 2-dimensional chaotic map and dependent diffusion
We, Z., Wong, K., Yu, H., & Zhu, Z. (2013) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2012.12.012 · Cited by 129 · see citing works
Image encryption algorithm based on multiple mixed hash functions and cyclic shift
Wang, X., Zhu, X., Wu, X., & Zhang, Y. (2017) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2017.06.015 · Cited by 127 · see citing works
Discrete fractional wavelet transform and its application to multiple encryption
Bhatnagar, G., Wu, Q. M. J., & Raman, B. (2012) · Information Sciences · doi:10.1016/j.ins.2012.09.053 · Cited by 123 · see citing works
A fast image algorithm based on rows and columns switch
Wang, X., Wang, Q., & Zhang, Y. (2014) · Nonlinear Dynamics · doi:10.1007/s11071-014-1729-y · Cited by 121 · see citing works
El-Fishawy, N. A., & Zaid, O. M. A. (2007) · doi:10.6633/ijns.200711.5(3).01 · Cited by 118 · see citing works
Ali, T. S., & Ali, R. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-08850-5 · Cited by 115 · see citing works
van Tilborg, H. C. A., & Jajodia, S. (2011) · Springer eBooks · doi:10.1007/978-1-4419-5906-5_1206 · Cited by 110 · see citing works
Gupta, A., Singh, D., & Kaur, M. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01493-x · Cited by 102 · see citing works
A technique for digital steganography using chaotic maps
Anees, A., Siddiqui, A. M., Ahmed, J., & Hussain, I. (2013) · Nonlinear Dynamics · doi:10.1007/s11071-013-1105-3 · Cited by 101 · see citing works
Self-citationA novel hybrid encryption algorithm based on chaos and S-AES algorithm
Çavuşoğlu, Ü., Kaçar, S., Zengi̇n, A., & Pehli̇van, İ. (2018) · Nonlinear Dynamics · doi:10.1007/s11071-018-4159-4 · Cited by 101 · see citing works
A Chaos-Based Image Encryption Technique Utilizing Hilbert Curves and H-Fractals
Zhang, X., Wang, L., Zhou, Z., et al. (2019) · IEEE Access · doi:10.1109/access.2019.2921309 · Cited by 97 · see citing works
Novel image encryption cryptosystem based on binary bit planes extraction and multiple chaotic maps
Shafique, A., & Shahid, J. (2018) · The European Physical Journal Plus · doi:10.1140/epjp/i2018-12138-3 · Cited by 96 · see citing works
Self-citationAn Efficient Homomorphic Medical Image Encryption Algorithm For Cloud Storage Security
Vengadapurvaja, A. M., NISHA, G. M., Aarthy, R., et al. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.09.150 · Cited by 94 · see citing works
Multiple-image encryption algorithm based on bit planes and chaos
Zhang, L., & Zhang, X. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-08835-4 · Cited by 92 · see citing works
An image encryption algorithm based on substitution technique and chaos mixing
Nkandeu, Y. P. K., & Tiedeu, A. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6612-2 · Cited by 91 · see citing works
Analysis, Control and Synchronization of Hyperchaotic Zhou System via Adaptive Control
Vaidyanathan, S. V. (2012) · Advances in intelligent systems and computing · doi:10.1007/978-3-642-31552-7_1 · Cited by 90 · see citing works
A Watermarking Technique with Chaotic Fractional S-Box Transformation
Jamal, S. S., Khan, M. U., & Shah, T. (2016) · Wireless Personal Communications · doi:10.1007/s11277-016-3436-0 · Cited by 89 · see citing works
Image encryption based on the fractional Fourier transform over finite fields
Lima, J. B., & Novaes, L. F. G. (2013) · Signal Processing · doi:10.1016/j.sigpro.2013.07.020 · Cited by 88 · see citing works
Patro, K. A. K., Acharya, B., & Nath, V. (2019) · IETE Technical Review · doi:10.1080/02564602.2019.1595751 · Cited by 86 · see citing works
A Noisy Channel Tolerant Image Encryption Scheme
Ahmed, F., Anees, A., Abbas, V. U., & Siyal, M. Y. (2014) · Wireless Personal Communications · doi:10.1007/s11277-014-1667-5 · Cited by 84 · see citing works
Construction of Cryptographic S-Boxes Based on Mobius Transformation and Chaotic Tent-Sine System
Jamal, S. S., Anees, A., Ahmad, M., Khan, M. F., & Hussain, I. (2019) · IEEE Access · doi:10.1109/access.2019.2956385 · Cited by 81 · see citing works
Talhaoui, M. Z., Wang, X., & Talhaoui, A. (2020) · The Visual Computer · doi:10.1007/s00371-020-01936-z · Cited by 79 · see citing works
Optical image encryption algorithm based on hyper-chaos and public-key cryptography
Liu, Y., Jiang, Z., Xu, X., Zhang, F., & Xu, J. (2020) · Optics & Laser Technology · doi:10.1016/j.optlastec.2020.106171 · Cited by 78 · see citing works
A new algorithm for the construction of substitution box by using chaotic map
Shafique, A. (2020) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-020-00187-0 · Cited by 76 · see citing works
Self-citationLuo, Y., Zhou, R., Liu, J., Qiu, S., & Cao, Y. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5844-5 · Cited by 75 · see citing works
A Novel Chaos-Based Symmetric Image Encryption Using Bit-Pair Level Process
Ge, R., Yang, G., Wu, J., Chen, Y., Coatrieux, G., & Luo, L. (2019) · IEEE Access · doi:10.1109/access.2019.2927415 · Cited by 72 · see citing works
Construction of S-Box Based on Chaotic Map and Algebraic Structures
Hussain, I., Anees, A., Al-Maadeed, T. A., & Mustafa, M. T. (2019) · Symmetry · doi:10.3390/sym11030351 · Cited by 69 · see citing works
Image Encryption Using Dynamic S-Box Substitution in the Wavelet Domain
Shafique, A., & Ahmed, F. (2020) · Wireless Personal Communications · doi:10.1007/s11277-020-07680-w · Cited by 68 · see citing works
Self-citationA novel image encryption scheme based on Arnold scrambling and Lucas series
Batool, S. I., & Waseem, H. M. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-07881-x · Cited by 66 · see citing works
A novel image encryption based on Lorenz equation, Gingerbreadman chaotic map and S 8 permutation
Khan, F. A., Ahmed, J., Khan, J. S., Ahmad, J. E., & Khan, M. A. (2017) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-17656 · Cited by 61 · see citing works
Self-citationA Novel Image Encryption Scheme Based on 2D Fractional Chaotic Map, DWT and 4D Hyper-chaos
Ding, L., & Ding, Q. (2020) · Electronics · doi:10.3390/electronics9081280 · Cited by 61 · see citing works
Optimizing chaos based image encryption
Noshadian, S., Ebrahimzade, A., & Kazemitabar, J. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5807-x · Cited by 59 · see citing works
Construction of chaotic quantum magnets and matrix Lorenz systems S-boxes and their applications
Hussain, I., Anees, A., AlKhaldi, A. H., et al. (2018) · Chinese Journal of Physics · doi:10.1016/j.cjph.2018.04.013 · Cited by 59 · see citing works
A novel fractional order chaos-based image encryption using Fisher Yates algorithm and 3-D cat map
Musanna, F., & Kumar, S. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6827-2 · Cited by 59 · see citing works
Wen, H., & Yu, S.-M. (2019) · The European Physical Journal Plus · doi:10.1140/epjp/i2019-12797-4 · Cited by 58 · see citing works
A New Fuzzy-DNA Image Encryption and Steganography Technique
El‐Khamy, S. E., Korany, N. O., & Mohamed, A. G. (2020) · IEEE Access · doi:10.1109/access.2020.3015687 · Cited by 58 · see citing works
Chaos-based image encryption using vertical-cavity surface-emitting lasers
Roy, A., Misra, A. P., & Banerjee, S. (2018) · Optik · doi:10.1016/j.ijleo.2018.09.062 · Cited by 56 · see citing works
Measuring encryption quality for bitmap images encrypted with rijndael and KAMKAR block ciphers
Elkamchouchi, H. M. A., & Makar, M. A. (2005) · doi:10.1109/nrsc.2005.194011 · Cited by 55 · see citing works
A Technique for Designing Substitution Box Based on Van der Pol Oscillator
Anees, A., & Ahmed, Z. A. (2015) · Wireless Personal Communications · doi:10.1007/s11277-015-2295-4 · Cited by 55 · see citing works
Designing secure substitution boxes based on permutation of symmetric group
Anees, A., & Chen, Y. P. (2019) · Neural Computing and Applications · doi:10.1007/s00521-019-04207-8 · Cited by 51 · see citing works
Özkaynak, F. (2017) · 2017 International Conference on Computer Science and Engineering (UBMK) · doi:10.1109/ubmk.2017.8093481 · Cited by 47 · cited 1× · see citing works
“NPCR and UACI can be calculated as follow [67]:”
MethodDiscriminative binary feature learning and quantization in biometric key generation
Anees, A., & Chen, Y. P. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.11.018 · Cited by 47 · see citing works
A noise resistant symmetric key cryptosystem based on S8 S-boxes and chaotic maps
Hussain, I., Anees, A., Aslam, M., Ahmed, R., & Siddiqui, N. (2018) · The European Physical Journal Plus · doi:10.1140/epjp/i2018-11987-x · Cited by 46 · see citing works
An Image Encryption Scheme Based on Lorenz System for Low Profile Applications
Anees, A. (2015) · 3D Research · doi:10.1007/s13319-015-0059-2 · Cited by 45 · see citing works
Novel Approach for fast Compressed Hybrid color image Cryptosystem
Gupta, K. K., & Silakari, S. (2012) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2012.03.001 · Cited by 43 · see citing works
A Novel Method to Identify Initial Values of Chaotic Maps in Cybersecurity
Anees, A., & Hussain, I. (2019) · Symmetry · doi:10.3390/sym11020140 · Cited by 40 · see citing works
Image encryption based on Chebyshev chaotic map and S8 S-boxes
Hussain, I., Anees, A., AlKhaldi, A. H., Aslam, M., Siddiqui, N., & Ahmed, R. (2019) · Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu · doi:10.5277/oa190212 · Cited by 39 · see citing works
Shankar, K., & Lakshmanaprabu, S. K. (2018) · International Journal of Engineering & Technology · doi:10.14419/ijet.v7i1.9.9729 · Cited by 38 · see citing works
Firdous, A., Rehman, A. U., & Missen, M. M. S. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7623-3 · Cited by 36 · see citing works
An authentication protocol based on chaos and zero knowledge proof
Major, W., Buchanan, W. J., & Ahmad, J. E. (2020) · Nonlinear Dynamics · doi:10.1007/s11071-020-05463-3 · Cited by 34 · see citing works
Various dimensional colour image encryption based on non-overlapping block-level diffusion operation
Patro, K. A. K., Acharya, B., & Nath, V. (2019) · Microsystem Technologies · doi:10.1007/s00542-019-04676-w · Cited by 32 · see citing works
A Secure Chaotic Image Encryption Based on Bit-Plane Operation
Sravanthi, D., Patro, K. A. K., Acharya, B., & Majumder, S. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-0514-6_68 · Cited by 31 · see citing works
Image encryption based on new one-dimensional chaotic map
Elabady, N. F., Abdalkader, H. M., Moussa, M., & Sabbeh, S. F. (2014) · doi:10.1109/icengtechnol.2014.7016811 · Cited by 30 · see citing works
Anees, A., Khan, W. A., Gondal, M. A., & Hussain, I. (2013) · Zeitschrift für Naturforschung A · doi:10.5560/zna.2013-0022 · Cited by 30 · see citing works
Huang, H. (2019) · IEEE Access · doi:10.1109/access.2019.2958319 · Cited by 30 · see citing works
A Robust Watermarking Scheme for Online Multimedia Copyright Protection Using New Chaotic Map
Anees, A., Hussain, I., Algarni, A., & Aslam, M. (2018) · Security and Communication Networks · doi:10.1155/2018/1840207 · Cited by 29 · see citing works
Medical Image Encryption: An Application for Improved Padding Based GGH Encryption Algorithm
Sokouti, M., Zakerolhosseini, A., & Sokouti, B. (2016) · The Open Medical Informatics Journal · doi:10.2174/1874431101610010011 · Cited by 27 · see citing works
Image encryption using phase-encoded exclusive-OR operations with incoherent illumination
Kumar, P., Fatima, A., & Nishchal, N. K. (2019) · Journal of Optics · doi:10.1088/2040-8986/ab173b · Cited by 27 · see citing works
A technique for digital watermarking in combined spatial and transform domains using chaotic maps
Anees, A., & Siddiqui, A. M. (2013) · doi:10.1109/ncia.2013.6725335 · Cited by 24 · see citing works
Dynamic substitution based encryption algorithm for highly correlated data
Shafique, A., & Ahmed, J. (2020) · Multidimensional Systems and Signal Processing · doi:10.1007/s11045-020-00730-3 · Cited by 24 · see citing works
Self-citationLiu, Y., Qin, Z., & Wu, J. (2019) · IEEE Access · doi:10.1109/access.2019.2916600 · Cited by 23 · see citing works
Construction of Nonlinear Component for Block Cipher Based on One-Dimensional Chaotic Map
Anees, A., & Gondal, M. A. (2015) · 3D Research · doi:10.1007/s13319-015-0049-4 · Cited by 22 · see citing works
Image encryption and the fractional Fourier transform
Hennelly, B. M., & Sheridan, J. T. (2003) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.463691 · Cited by 19 · see citing works
Dual-Layer DNA-Encoding–Decoding Operation Based Image Encryption Using One-Dimensional Chaotic Map
Patro, K. A. K., Babu, M. P. J., Kumar, K. P., & Acharya, B. (2020) · Lecture notes in networks and systems · doi:10.1007/978-981-15-0694-9_8 · Cited by 19 · see citing works
Applied Cryptography and Noise Resistant Data Security
Hussain, I., Ahmed, F., Khokhar, U. M., & Anees, A. (2018) · Security and Communication Networks · doi:10.1155/2018/3962821 · Cited by 17 · see citing works
Patro, K. A. K., & Acharya, B. (2019) · Springer eBooks · doi:10.1007/978-981-13-3185-5_23 · Cited by 15 · see citing works
Effect of Self-Invertible Matrix on Cipher Hexagraphic Polyfunction
Ching, S. L. P., & Yunos, F. (2019) · Cryptography · doi:10.3390/cryptography3020015 · Cited by 6 · see citing works
Li, Y., Ye, R., & Chen, Y. (2018) · International Journal of Computer Trends and Technology · doi:10.14445/22312803/ijctt-v62p106 · Cited by 1
Flagged first, then by citations
Research works printed but not linked: 2
- beebe, 2020, A complete bibliography of the bell system technical journal 1940–1949
- bruce, 1996, Applied Cryptography
Cited by
Sorted by citations
Image Encryption Algorithms: A Survey of Design and Evaluation Metrics
Alghamdi, Y., & Munir, A. (2024) · Journal of Cybersecurity and Privacy · doi:10.3390/jcp4010007 · Cited by 98 · see citing works
“To ensure the reliability of an image encryption algorithm, its ability to withstand such attacks and decrypt the plaintext image from the altered cipher image needs to be tested [60].”
BackgroundDynamic rotation medical image encryption scheme based on improved Lorenz chaos
Man, Z., Gao, C., Dai, Y., & Meng, X. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-024-09732-3 · Cited by 48 · see citing works
Shafique, A., Mehmood, A., Elhadef, M., & khan, K. H. (2022) · PLOS ONE · doi:10.1371/journal.pone.0273661 · Cited by 23 · see citing works
Self-citation
- Authors
- Shafique, A., Ahmed, J., Rehman, M. U., & Hazzazi, M. M.
- Affiliations
- Riphah International University (PK)
- King Khalid University (SA)
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 59108-59130
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3155913577
- Cited by
- 72
- References
- 97
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 18 · 2023: 17 · 2022: 17 · 2021: 1
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IEEE Access (publishedVersion, cc-by-nc-nd)
- Research at York St John (York St John University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DMU Open Research Archive (De Montfort University) (submittedVersion)
- Funders
- Deanship of Scientific Research at King Khalid University through the Research Groups Program (R. G. P. 1/77/42)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- image encryption, medical images, noise robustness, chaos-based cryptography, discrete wavelet transform, lossless encryption, frequency domain encryption, NPCR and UACI, noise attacks, cropping attacks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-21.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-21.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review