Cited by 144Chaos-based Image/Signal EncryptionComputer Science and EngineeringCryptographic Implementations and Security

Multiple-Layer Image Encryption Utilizing Fractional-Order Chen Hyperchaotic Map and Cryptographically Secure PRNGs

Open access
Alexan, Wassim, Alexan, Nader, Gabr, Mohamed·2023·Fractal and Fractional

Abstract

Image encryption is increasingly becoming an important area of research in information security and network communications as digital images are widely used in various applications and are vulnerable to various types of attacks. In this research work, a color image cryptosystem that is based on multiple layers is proposed. For every layer, an encryption key and an S-box are generated and utilized. These are based on a four-dimensional (4D) dynamical Chen system of a fractional-order, the Mersenne Twister, OpenSLL, Rule 30 Cellular Automata and Intel’s MKL. The sequential application of Shannon’s ideas of diffusion and confusion three times guarantees a total distortion of any input plain image, thereby, resulting in a totally encrypted one. Apart from the excellent and comparable performance to other state-of-the-art algorithms, showcasing resistance to visual, statistical, entropy, differential, known plaintext and brute-force attacks, the proposed image cryptosystem provides an exceptionally superior performance in two aspects: a vast key space of 21658 and an average encryption rate of 3.34 Mbps. Furthermore, the proposed image cryptosystem is shown to successfully pass all the tests of the NIST SP 800 suite.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/fractalfract7040287

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Traditional encryption algorithms such as DES, AES, and IDEA often do not fully meet the unique demands of satellite imagery, where both high security and minimal loss of image detail are required.

    “Traditional encryption algorithms such as the Data Encryption Standard (DES), Advanced Encryption Standard (AES), and International Data Encryption Algorithm (IDEA) have been instrumental in protecting data. However, these methods often do not fully meet the unique demands of satellite imagery, where both high security and minimal loss of image detail are required2.”

    From A chaos-based augmented image encryption scheme for satellite images using Fredkin logic (2025) · cites this paper as [2]

    The Introduction says DES and AES are no longer best suited to image encryption, citing security concerns and the need to preserve image quality. It discusses images generally, not satellite imagery, and names 3DES rather than IDEA. The copy therefore does not support the claim’s satellite-specific scope or its inclusion of IDEA. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 84

  1. Lu, B.; Dao, P.D.; Liu, J.; He, Y.; Shang, J. Recent advances of hyperspectral imaging technology and applications in agriculture. Remote Sens. 2020, 12, 2659. [CrossRef] · DOI
  2. Wang, C.; Fan, W.; Zhang, Z.; Wen, Y.; Xiong, L.; Chen, X. Advanced nanotechnology leading the way to multimodal imaging- guided precision surgical therapy. Adv. Mater. 2019, 31, 1904329. [CrossRef] [PubMed] · DOI
  3. Abd El-Latif, A.A.; Abd-El-Atty, B.; Mazurczyk, W.; Fung, C.; Venegas-Andraca, S.E. Secure data encryption based on quantum walks for 5G Internet of Things scenario. IEEE Trans. Netw. Serv. Manag. 2020, 17, 118-131. [CrossRef] · DOI · Paper page
  4. Kagan, D.; Alpert, G.F.; Fire, M. Zooming into video conferencing privacy and security threats. arXiv 2020, arXiv:2007.01059. · arXiv
  5. Elkandoz, M.T.; Alexan, W. Image encryption based on a combination of multiple chaotic maps. Multimed. Tools Appl. 2022, 81, 25497-25518. [CrossRef] · DOI · Paper page
  6. Gabr, M.; Alexan, W.; Moussa, K.; Maged, B.; Mezar, A. Multi-Stage RGB Image Encryption. In Proceedings of the 2022 International Telecommunications Conference (ITC-Egypt), Alexandria, Egypt, 26-28 July 2022; pp. 1-6.
  7. Gabr, M.; Younis, H.; Ibrahim, M.; Alajmy, S.; Khalid, I.; Azab, E.; Elias, R.; Alexan, W. Application of DNA Coding, the Lorenz Differential Equations and a Variation of the Logistic Map in a Multi-Stage Cryptosystem. Symmetry 2022, 14, 2559. [CrossRef] · DOI
  8. Gabr, M.; Hussein, H.H.; Alexan, W. A Combination of Decimal-and Bit-Level Secure Multimedia Transmission. In Proceedings of the 2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW), Riga, Latvia, 5-7 October 2022; pp. 177-182.
  9. Farrag, S.; Alexan, W. Secure 3d data hiding technique based on a mesh traversal algorithm. Multimed. Tools Appl. 2020, 79, 29289-29303. [CrossRef] · DOI
  10. Alexan, W.; Elkhateeb, A.; Mamdouh, E.; Al-Seba'Ey, F.; Amr, Z.; Khalil, H. Utilization of corner filters, aes and lsb steganography for secure message transmission. In Proceedings of the 2021 International Conference on Microelectronics (ICM), Nis, Serbia, 12-14 September 2021; pp. 29-33.
  11. Alexan, W.; Ashraf, A.; Mamdouh, E.; Mohamed, S.; Moustafa, M. Iomt security: Sha3-512, aes-256, rsa and lsb steganography. In Proceedings of the 2021 Eighth NAFOSTED Conference on Information and Computer Science (NICS), Hanoi, Vietnam, 21-22 December 2021; pp. 177-181.
  12. Yasser, S.; Hesham, A.; Hassan, M.; Alexan, W. Aes-secured bit-cycling steganography in sliced 3d images. In Proceedings of the 2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE), Cairo, Egypt, 8-9 February 2020; pp. 227-231.
  13. Alexan, W.; Mamdouh, E.; ElBeltagy, M.; Hassan, F.; Edward, P. Image Feature-Based Watermarking. In Proceedings of the 2022 International Telecommunications Conference (ITC-Egypt), Alexandria, Egypt, 26-28 July 2022; pp. 1-6. [CrossRef] · DOI
  14. Coppersmith, D. The Data Encryption Standard (DES) and its strength against attacks. Ibm J. Res. Dev. 1994, 38, 243-250. [CrossRef] · DOI
  15. Adam, N.; Mashaly, M.; Alexan, W. A 3des double-layer based message security scheme. In Proceedings of the 2019 Second International Conference on Computer Applications & Information Security (ICCAIS), Riyadh, Saudi Arabia, 19-21 March 2019; pp. 1-5.
  16. Daemen, J.; Rijmen, V. The Design of Rijndael; Springer: Berlin/Heidelberg, Germany, 2002; Volume 2.
  17. Moussa, Y.; Alexan, W. Message security through aes and lsb embedding in edge detected pixels of 3d images. In Proceedings of the 2020 Second Novel Intelligent and Leading Emerging Sciences Conference (NILES), Giza, Egypt, 24-26 October 2020; pp. 224-229.
  18. Vaudenay, S. An experiment on DES statistical cryptanalysis. In Proceedings of the third ACM Conference on Computer and Communications Security, New Delhi, India, 14-15 March 1996; pp. 139-147.
  19. Alexan, W.; ElBeltagy, M.; Aboshousha, A. RGB Image Encryption through Cellular Automata, S-Box and the Lorenz System. Symmetry 2022, 14, 443. [CrossRef] · DOI
  20. Jiao, K.; Ye, G.; Mei, Q. Image Encryption Scheme Based on Quantum Logistic Map and Cellular Automata. In Proceedings of the 2021 IEEE sixth International Conference on Computer and Communication Systems (ICCCS), Chengdu, China, 23-26 April 2021; pp. 375-379. [CrossRef] · DOI
  21. Ben Slimane, N.; Aouf, N.; Bouallegue, K.; Machhout, M. Hash Key-Based Image Cryptosystem Using Chaotic Maps and Cellular Automata. In Proceedings of the 2018 15th International Multi-Conference on Systems, Signals Devices (SSD), Yasmine Hammamet, Tunisia, 19-22 March 2018; pp. 190-194. [CrossRef] · DOI
  22. Vinay, S.; Pujar, A.; Kedlaya, H.; Shahapur, V.S. Implementation of DNA cryptography based on dynamic DNA sequence table using cloud computing. Int. J. Eng. Res. Technol. 2019, 7, 8.
  23. UbaidurRahman, N.H.; Balamurugan, C.; Mariappan, R. A Novel String Matrix Data Structure for DNA Encoding Algorithm. Procedia Comput. Sci. 2015, 46, 820-832. [CrossRef] · DOI
  24. Iliyasu, M.A.; Abisoye, O.A.; Bashir, S.A.; Ojeniyi, J.A. A Review of DNA Cryptograhic Approaches. In Proceedings of the 2020 IEEE Second International Conference on Cyberspac (CYBER NIGERIA), Abuja, Nigeria, 23-25 February 2021; pp. 66-72.
  25. Sambas, A.; Vaidyanathan, S.; Tlelo-Cuautle, E.; Abd-El-Atty, B.; El-Latif, A.A.A.; Guillén-Fernández, O.; Sukono.; Hidayat, Y.; Gundara, G. A 3-D Multi-Stable System with a Peanut-Shaped Equilibrium Curve: Circuit Design, FPGA Realization, and an Application to Image Encryption. IEEE Access 2020, 8, 137116-137132. [CrossRef] · DOI
  26. Chen, J.J.; Yan, D.W.; Duan, S.K.; Wang, L.D. Memristor-based hyper-chaotic circuit for image encryption. Chin. Phys. 2020, 29, 110504. [CrossRef] · DOI
  27. Liu, X.; Tong, X.; Wang, Z.; Zhang, M. Efficient high nonlinearity S-box generating algorithm based on third-order nonlinear digital filter. Chaos Solitons Fractals 2021, 150, 111109. [CrossRef] · DOI
  28. Alexan, W.; ElBeltagy, M.; Aboshousha, A. Image Encryption Through Lucas Sequence, S-Box and Chaos Theory. In Proceedings of the 2021 eighth NAFOSTED Conference on Information and Computer Science (NICS), Hanoi, Vietnam, 21-22 December 2021; pp. 77-83.
  29. Khan, M.; Masood, F. A novel chaotic image encryption technique based on multiple discrete dynamical maps. Multimed. Tools Appl. 2019, 78, 26203-26222. [CrossRef] · DOI
  30. Younas, I.; Khan, M. A new efficient digital image encryption based on inverse left almost semi group and Lorenz chaotic system. Entropy 2018, 20, 913. [CrossRef] · DOI
  31. Alexan, W.; Elkandoz, M.; Mashaly, M.; Azab, E.; Aboshousha, A. Color Image Encryption Through Chaos and KAA Map. IEEE Access 2023, 11, 11541-11554. [CrossRef] · DOI
  32. Gabr, M.; Alexan, W.; Moussa, K. Image Encryption Through CA, Chaos and Lucas Sequence Based S-box. In Proceedings of the 2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, Poland, 21-22 September 2022; pp. 34-39.
  33. ElBeltagy, M.; Alexan, W.; Elkhamry, A.; Moustafa, M.; Hussein, H.H. Image Encryption Through Rössler System, PRNG S-box and Recamán's Sequence. In Proceedings of the 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), Virtual, 26-29 January 2022; pp. 0716-0722. [CrossRef] · DOI
  34. Hussein, H.H.; Alexan, W.; ElBeltagy, M.; Aboshousha, A. Visual Data Security Incorporating Fibonacci Sequence, S-box, and Chaos Theory. In Proceedings of the 2022 International Conference on Smart Systems and Power Management (IC2SPM), Beirut, Lebanon, 10-12 November 2022; pp. 85-90. [CrossRef] · DOI
  35. AbdElHaleem, S.H.; Abd-El-Hafiz, S.K.; Radwan, A.G. A generalized framework for elliptic curves based PRNG and its utilization in image encryption. Sci. Rep. 2022, 12, 13278. [CrossRef] · DOI
  36. Yu, F.; Zhang, Z.; Shen, H.; Huang, Y.; Cai, S.; Du, S. FPGA implementation and image encryption application of a new PRNG based on a memristive Hopfield neural network with a special activation gradient. Chin. Phys. 2022, 31, 020505. [CrossRef] · DOI
  37. Idrees, B.; Zafar, S.; Rashid, T.; Gao, W. Image encryption algorithm using S-box and dynamic Hénon bit level permutation. Multimed. Tools Appl. 2020, 79, 6135-6162. [CrossRef] · DOI
  38. Pereira, A.; Proenca, A. PRNG-Broker: A High-Performance Broker to Supply Parallel Streams of Pseudorandom Numbers for Large-Scale Simulations. In Advances in Parallel & Distributed Processing, and Applications: Proceedings from PDPTA'20, CSC'20, MSV'20, and GCC'20, Glasgow, UK, 22-26 August 2021; Springer: Berlin/Heidelberg, Germany, 2021; pp. 167-183.
  39. Viega, J.; Messier, M.; Chandra, P. Network Security with openSSL: Cryptography for Secure Communications; O'Reilly Media, Inc.: Sebastopol, CA, USA, 2002.
  40. Hosny, K.M. Multimedia Security Using Chaotic Maps: Principles and Methodologies; Springer: Berlin/Heidelberg, Germany, 2020; Volume 884.
  41. Kumari, M.; Gupta, S. Performance comparison between Chaos and quantum-chaos based image encryption techniques. Multimed. Tools Appl. 2021, 80, 33213-33255. [CrossRef] [PubMed] · DOI
  42. Tavazoei, M.S. Fractional order chaotic systems: History, achievements, applications, and future challenges. Eur. Phys. J. Spec. Top. 2020, 229, 887-904. [CrossRef] · DOI
  43. Montesinos-García, J.J.; Martinez-Guerra, R. Colour image encryption via fractional chaotic state estimation. Iet Image Process. 2018, 12, 1913-1920. [CrossRef] · DOI
  44. Hosny, K.M.; Kamal, S.T.; Darwish, M.M. Novel encryption for color images using fractional-order hyperchaotic system. J. Ambient. Intell. Humaniz. Comput. 2022, 13, 973-988. [CrossRef] · DOI
  45. Hou, J.; Xi, R.; Liu, P.; Liu, T. The switching fractional order chaotic system and its application to image encryption. IEEE/CAA J. Autom. Sin. 2016, 4, 381-388. [CrossRef] · DOI
  46. Bai, Y.R.; Baleanu, D.; Wu, G.C. A novel shuffling technique based on fractional chaotic maps. Optik 2018, 168, 553-562. [CrossRef] · DOI
  47. Mani, P.; Rajan, R.; Shanmugam, L.; Joo, Y.H. Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption. Inf. Sci. 2019, 491, 74-89. [CrossRef] · DOI
  48. Hegazi, A.; Matouk, A. Dynamical behaviors and synchronization in the fractional order hyperchaotic Chen system. Appl. Math. Lett. 2011, 24, 1938-1944. [CrossRef] · DOI
  49. Yan, Z. Controlling hyperchaos in the new hyperchaotic Chen system. Appl. Math. Comput. 2005, 168, 1239-1250. [CrossRef] · DOI
  50. Mohamed, S.M.; Sayed, W.S.; Madian, A.H.; Radwan, A.G.; Said, L.A. An Encryption Application and FPGA Realization of a Fractional Memristive Chaotic System. Electronics 2023, 12, 1219. [CrossRef] · DOI
  51. Matsumoto, M.; Nishimura, T. Mersenne twister: A 623-dimensionally equidistributed uniform pseudo-random number generator. Acm Trans. Model. Comput. Simul. (Tomacs) 1998, 8, 3-30. [CrossRef] · DOI · Paper page
  52. L'ecuyer, P.; Simard, R. TestU01: AC library for empirical testing of random number generators. Acm Trans. Math. Softw. (Toms) 2007, 33, 1-40. [CrossRef] · DOI · Paper page
  53. Route, M. Radio-flaring ultracool dwarf population synthesis. Astrophys. J. 2017, 845, 66. [CrossRef] · DOI
  54. Mélard, G. On the accuracy of statistical procedures in Microsoft Excel 2010. Comput. Stat. 2014, 29, 1095-1128. [CrossRef] · DOI
  55. McEvoy, R.; Curran, J.; Cotter, P.; Murphy, C. Fortuna: Cryptographically secure pseudo-random number generation in software and hardware. In Proceedings of the 2006 IET Irish Signals and Systems Conference. IET, Dublin, Ireland, 10-11 June 2006; pp. 457-462.
  56. Wang, E.; Zhang, Q.; Shen, B.; Zhang, G.; Lu, X.; Wu, Q.; Wang, Y.; Wang, E.; Zhang, Q.; Shen, B.; et al. Intel Math Kernel Library. In High-Performance Computing on the Intel® Xeon Phi™: How to Fully Exploit MIC Architectures; Springer: Berlin/Heidelberg, Germany, 2014 ; pp. 167-188.
  57. Iqbal, N.; Naqvi, R.A.; Atif, M.; Khan, M.A.; Hanif, M.; Abbas, S.; Hussain, D. On the Image Encryption Algorithm Based on the Chaotic System, DNA Encoding, and Castle. IEEE Access 2021, 9, 118253-118270. [CrossRef] · DOI
  58. Khan, M.; Shah, T. An efficient chaotic image encryption scheme. Neural Comput. Appl. 2015, 26, 1137-1148. [CrossRef] · DOI
  59. Liu, H.; Zhao, B.; Huang, L. Quantum image encryption scheme using Arnold transform and S-box scrambling. Entropy 2019, 21, 343. [CrossRef] · DOI
  60. Wang, Y.; Wu, C.; Kang, S.; Wang, Q.; Mikulovich, V. Multi-channel chaotic encryption algorithm for color image based on DNA coding. Multimed. Tools Appl. 2020, 79, 18317-18342. [CrossRef] · DOI
  61. Zhang, Y.Q.; He, Y.; Li, P.; Wang, X.Y. A new color image encryption scheme based on 2DNLCML system and genetic operations. Opt. Lasers Eng. 2020, 128, 106040. [CrossRef] · DOI
  62. Jithin, K.; Sankar, S. Colour image encryption algorithm combining, Arnold map, DNA sequence operation, and a Mandelbrot set. J. Inf. Secur. Appl. 2020, 50, 102428. [CrossRef] · DOI
  63. Rehman, A.U.; Firdous, A.; Iqbal, S.; Abbas, Z.; Shahid, M.M.A.; Wang, H.; Ullah, F. A Color Image Encryption Algorithm Based on One Time Key, Chaos Theory, and Concept of Rotor Machine. IEEE Access 2020, 8, 172275-172295. [CrossRef] · DOI
  64. Slimane, N.B.; Aouf, N.; Bouallegue, K.; Machhout, M. A novel chaotic image cryptosystem based on DNA sequence operations and single neuron model. Multimed. Tools Appl. 2018, 77, 30993-31019. [CrossRef] · DOI · Paper page
  65. Paul, L.; Gracias, C.; Desai, A.; Thanikaiselvan, V.; Suba Shanthini, S.; Rengarajan, A. A novel colour image encryption scheme using dynamic DNA coding, chaotic maps, and SHA-2. Multimed. Tools Appl. 2022, 81, 37873-37894. [CrossRef] · DOI
  66. ur Rehman, A.; Liao, X.; Ashraf, R.; Ullah, S.; Wang, H. A color image encryption technique using exclusive-OR with DNA complementary rules based on chaos theory and SHA-2. Optik 2018, 159, 348-367. [CrossRef] · DOI
  67. Alvarez, G.; Li, S. Some basic cryptographic requirements for chaos-based cryptosystems. Int. J. Bifurc. Chaos 2006, 16, 2129-2151. [CrossRef] · DOI · Paper page
  68. Yang, B.; Liao, X. A new color image encryption scheme based on logistic map over the finite field ZN. Multimed. Tools Appl. 2018, 77, 21803-21821. [CrossRef] · DOI
  69. Gao, H.; Wang, X. Chaotic Image Encryption Algorithm Based on Zigzag Transform With Bidirectional Crossover From Random Position. IEEE Access 2021, 9, 105627-105640. [CrossRef] · DOI
  70. Ge, B.; Chen, X.; Chen, G.; Shen, Z. Secure and Fast Image Encryption Algorithm Using Hyper-Chaos-Based Key Generator and Vector Operation. IEEE Access 2021, 9, 137635-137654. [CrossRef] · DOI · Paper page
  71. Hu, X.; Wei, L.; Chen, W.; Chen, Q.; Guo, Y. Color image encryption algorithm based on dynamic chaos and matrix convolution. IEEE Access 2020, 8, 12452-12466. [CrossRef] · DOI
  72. Asuero, A.G.; Sayago, A.; González, A. The correlation coefficient: An overview. Crit. Rev. Anal. Chem 2006, 36, 41-59. [CrossRef] · DOI
  73. Temizhan, E.; Mirtagioglu, H.; Mendes, M.; Which Correlation Coefficient Should Be Used for Investigating Relations between Quantitative Variables? Am. Acad. Sci. Res. J. Eng. Technol. Sci. 2022, 85, 265-277.
  74. Gong, L.; Qiu, K.; Deng, C.; Zhou, N. An image compression and encryption algorithm based on chaotic system and compressive sensing. Opt. Laser Technol. 2019, 115, 257-267. [CrossRef] · DOI
  75. Zhang, X.; Wang, L.; Wang, Y.; Niu, Y.; Li, Y. An image encryption algorithm based on hyperchaotic system and variable-step Josephus problem. Int. J. Opt. 2020, 2020, 6102824. [CrossRef] · DOI
  76. Meier, W.; Staffelbach, O. Nonlinearity criteria for cryptographic functions. In Proceedings of the Workshop on the Theory and Application of of Cryptographic Techniques, Houthalen, Belgium, 10-13 April 1989; pp. 549-562.
  77. Hong, S.; Lee, S.; Lim, J.; Sung, J.; Cheon, D.; Cho, I. Provable security against differential and linear cryptanalysis for the SPN structure. In Proceedings of the International Workshop on Fast Software Encryption, New York, NY, USA, 10-12 April 2000; pp. 273-283.
  78. Webster, A.; Tavares, S.E. On the design of S-boxes. In Proceedings of the Conference on the Theory and Application of Cryptographic Techniques, Aarhus, Denmark, 21-24 May 1985; pp. 523-534.
  79. Liu, H.; Kadir, A.; Xu, C. Cryptanalysis and constructing S-box based on chaotic map and backtracking. Appl. Math. Comput. 2020, 376, 125153. [CrossRef] · DOI · Paper page
  80. Si, Y.; Liu, H.; Chen, Y. Constructing keyed strong S-Box using an enhanced quadratic map. Int. J. Bifurc. Chaos 2021, 31, 2150146. [CrossRef] · DOI
  81. Zahid, A.H.; Arshad, M.J.; Ahmad, M. A novel construction of efficient substitution-boxes using cubic fractional transformation. Entropy 2019, 21, 245. [CrossRef] · DOI · Paper page
  82. Aboytes-González, J.; Murguía, J.; Mejía-Carlos, M.; González-Aguilar, H.; Ramírez-Torres, M. Design of a strong S-box based on a matrix approach. Nonlinear Dyn. 2018, 94, 2003-2012. [CrossRef] · DOI
  83. Hayat, U.; Azam, N.A.; Asif, M. A method of generating 8 × 8 substitution boxes based on elliptic curves. Wirel. Pers. Commun. 2018, 101, 439-451. [CrossRef] · DOI
  84. Siddiqui, N.; Yousaf, F.; Murtaza, F.; Ehatisham-ul Haq, M.; Ashraf, M.U.; Alghamdi, A.M.; Alfakeeh, A.S. A highly nonlinear substitution-box (S-box) design using action of modular group on a projective line over a finite field. PLoS ONE 2020, 15, e0241890. [CrossRef] [PubMed] · DOI

Cited by

Sorted by citations

Authors
Alexan, W., Alexan, N., & Gabr, M.
Affiliations
German University in Cairo (EG)
Corresponding author
Alexan, Wassim
Venue
Fractal and Fractional
Publisher
MDPI AG
Published
2023-03-26
Volume
7
Issue
4
Pages
287
ISSN
2504-3110 (ISSN-L)
OpenAlex
W4361007006
Cited by
144
References
3
Citations by year
2026: 24 · 2025: 45 · 2024: 47 · 2023: 28
FWCI
13.07
Type
journal article
Language
en
Open access
Locations
  • Fractal and Fractional (publishedVersion, cc-by)
  • Preprints.org (acceptedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
Keywords
image encryption, four-dimensional dynamical systems, cryptographically secure pseudorandom number generators, Mersenne Twister, OpenSSL, Intel MKL, S-box generation, confusion and diffusion, key space, attack resistance

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.

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