Influenced Encryption Key for AES based MF-TDMA in Mobile Communication
Open accessAbstract
In recent years, network security has become an important issue. Cryptography has been used for secure data and control access. In this paper, we analyze the effect of the key error according to plaintext size in the encrypted mobile communication. We have applied the Multi-Frequency Time-Division Multiple Access (MF-TDMA) based mobile communication environment and used the Advanced Encryption Standard (AES) algorithm. Simulator configured with the Convolutional Turbo Code (CTC) channel coder and Offset Quadrature Phase Shift Keying (OQPSK) modulation scheme and Additive White Gaussian Noise (AWGN) mobile channel. Depending on the length of the plaintext, we confirmed through the correlation of the bit error rate (BER) and the peak signal-to-noise ratio (PSNR). In addition, we analyze the correlation according to SNR in AES Counter (CTR) and Cipher-Block Chaining (CBC) mode and analyze the effect of encryption algorithm on communication. Finally, this study is used as data to analyze the performance of application of cryptographic service and various communication environments in the environment of MF-TDMA based mobile communication, and it is expected that it will be useful for performance analysis of image data restoration.
AI snapshot
Written from the paper’s full text.
TL;DR
This paper simulates AES-CTR and AES-CBC encryption over an MF-TDMA mobile link with CTC/OQPSK/AWGN to analyze how plaintext size and key errors affect BER and PSNR. It reports that increasing plaintext size reduces key-error effects, with CTR mode showing greater key-error effect but better image reconstruction than CBC.
Key findings
- Normal unencrypted data performed best; AES-CTR performance was lower than normal from -4 dB to 1 dB because key values were damaged, but at 2 dB the keys were restored and performance was similar to normal.
- AES-CBC errors in the preceding stage influenced the next stage, parallel processing was impossible while decoding, and performance was severely reduced.
- Increasing plaintext size reduced the effect of key errors; when plaintext size was small, the key-error result was opposite. The tested plaintext sizes were 1,500 bytes and 11,927 bytes.
- The paper states that in CBC mode the effect of two key errors is smaller than in CTR mode, while the conclusion says CTR mode has greater key-error effect and a desirable reconstruction ratio with no subsequent error propagation.
Methods
- Simulation of an MF-TDMA mobile channel using AES-CTR and AES-CBC, CTC channel coding, OQPSK modulation, and an AWGN channel; parameters included 8 GHz frequency, 48 MHz bandwidth, 4 frequency slots, 400 ms superframe, 63 time slots, and a 73-byte encryption key.
- Input data were H.264 video: about 2 seconds, 44,082 bytes, 320 x 240 pixels, with 12 Mbps input data across four channels; AES-128 with 10 rounds was used, and plaintext sizes were varied to 1,500 bytes and 11,927 bytes.
- Analysis used BER, PSNR, RMSE, NPCR, and the cross-correlation coefficient between BER and PSNR.
Limitations
- Stated limitations: Not stated in the paper.
- Evident: the simulation used only an AWGN reference channel, with no fading or interference modeled, and relied on a single H.264 image and fixed system parameters.
- Evident: the paper contains inconsistent statements about CTR versus CBC key-error effects between Section 4.2 and the Conclusion.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
- Findingown data
In CBC mode, the effect of two key errors is smaller than in CTR mode.
“In CBC mode, the effect of two key errors is smaller than CTR mode.”
- Also stated in: § 5. Conclusion · boosted
“The results confirmed that CTR mode of key error analysis has greater effect.”
Quote in the paperSubstantial claim - Also stated in: § 5. Conclusion · boosted
- Findingown data
In CTR mode, an error in the plaintext data does not affect subsequent errors.
“Based on image decoding, it was confirmed that CTR mode has desirable reconstruction ratio and that an error in the plain-text data does not affect subsequent errors.”
Quote in the paperSubstantial claim - Findingnone given
In AES-CBC encryption, errors in the preceding stage influence the next stage.
“In the AES-CBC encryption case, errors in the preceding stage influence the next stage.”
Quote in the paperSubstantial claim - Findingreasoning
When plaintext size is increased, the effect of key errors on mobile communication is reduced.
“Thus, when plain size is increased, the effect of key errors on mobile communication is reduced.”
- Also stated in: § 4.2. Impact analysis of key error · plain
“Increasing size of the plain-text when it is passed through mobile communication is helpful in reducing the effect of key errors.”
Quote in the paperSubstantial claim - Also stated in: § 4.2. Impact analysis of key error · plain
- Findingreasoning
When plaintext size is small, the key error suggests a result opposite to the simulation results.
“If plain size is small, the key error suggests a result opposite to the simulation results.”
Quote in the paperNot a substantial claim
- Findingown data
Based on image decoding, CTR mode has a desirable reconstruction ratio.
“Based on image decoding, it was confirmed that CTR mode has desirable reconstruction ratio and that an error in the plain-text data does not affect subsequent errors.”
Quote in the paperSubstantial claim - Findingown data
At 2 dB, the key values are all restored.
“However, because the key values are all restored at 2dB, performance of AES-CTR encryption is similar to performance of normal data.”
Quote in the paperSubstantial claim - Findingreasoning
AES-CBC performance is severely reduced.
“Because parallel processing is impossible while decoding, a shear password block is used and performance is severely reduced.”
Quote in the paperSubstantial claim - Findingown data
In the simulated MF-TDMA mobile communication system, normal (unencrypted) data shows excellent performance.
“Excellent performance is shown by normal (unencrypted) data.”
Quote in the paperNot a substantial claim - Findingreasoning
At 2 dB, AES-CTR encryption performance is similar to normal data performance.
“However, because the key values are all restored at 2dB, performance of AES-CTR encryption is similar to performance of normal data.”
Quote in the paperSubstantial claim - Findingown data
In the simulation, AES-CTR encryption performance is lower than normal data performance from -4 dB to 1 dB.
“Performance of AES-CTR encryption is lower than performance of normal data from -4 dB to 1 dB, because the key values are damaged.”
Quote in the paperSubstantial claim - Interpretationown data
The lower AES-CTR performance from -4 dB to 1 dB is because the key values are damaged.
“Performance of AES-CTR encryption is lower than performance of normal data from -4 dB to 1 dB, because the key values are damaged.”
Quote in the paperSubstantial claim - Interpretationreasoning
The key value of decoded data passed through a separate mobile channel affects total error.
“The key value of decoded data passed through a separate mobile channel affects total error.”
Quote in the paperSubstantial claim - Interpretationnone given
When encrypted data are based on the MF-TDMA mobile channel through the key value and there is no error in the AES algorithm itself, the error originated by the firing key value affects the entire plain-text data.
“First, when encrypted data are based on MF-TDMA mobile channel through the key value and if there is no error in the AES algorithm itself, the error originated by the firing key value affects the entire plain-text data.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The AES algorithm itself is error-free.
- May combine two claims. 1
May combine two claims.
InterpretationreasoningThe severe reduction in AES-CBC performance is because parallel processing is impossible while decoding and a shear password block is used.
“Because parallel processing is impossible while decoding, a shear password block is used and performance is severely reduced.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The AWGN channel is an adequate reference model for the mobile communication channel.
“An AWGN channel was used as a reference channel by the mobile”
The authors state this as an assumption.
The AES algorithm itself is error-free.
“if there is no error in the AES algorithm itself”
Cites
Opportunistic Encryption: A Trade-Off between Security and Throughput in Wireless Networks
Haleem, M. A., Mathur, C. N., Chandramouli, R., & Subbalakshmi, K. P. (2007) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2007.70214 · Cited by 84 · cited 1× · see citing works
“Then the outputs of input bit dk are [8][9]:”
BackgroundOn Large Deviations of HARQ with Incremental Redundancy over Fading Channels
Choi, J.-H. (2012) · IEEE Communications Letters · doi:10.1109/lcomm.2012.042312.120454 · Cited by 22 · cited 1×
“An AWGN channel was used as a reference channel by the mobile Digital broadcast DVB-S2 [10].”
MethodA joint encryption and error correction method used in satellite communications
Li, N., Lin, K., Lin, W.-L., et al. (2014) · China Communications · doi:10.1109/cc.2014.6825260 · Cited by 21 · cited 1×
“In the block cipher mode, the whole data is divided into number of blocks and the key for encryption is provided based on block length the key is provided for encryption [7].”
MethodOptimized IR-HARQ Schemes Based on Punctured LDPC Codes Over the BEC
Andriyanova, I., & Soljanin, E. (2010) · IEEE Transactions on Information Theory · doi:10.1109/tit.2012.2203580 · Cited by 17 · cited 2×
“However, in wireless networking security system, the need for lowering of power requirements has been on the rise and is often regarded as one of the prime requirements for the advancement of the industries of today[1]-[6].”
BackgroundMethodOptimization between AES security and performance for IEEE 802.15.3 WPAN
Olteanu, A., Xiao, Y., & Zhang, Y. (2009) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2009.12.090023 · Cited by 14 · cited 1×
“Then the outputs of input bit d k are [8][9]: Where”
BackgroundAn Improved AES Key Expansion Algorithm
Junjie, Y., & Chen, F. (2016) · doi:10.2991/icemie-16.2016.28 · Cited by 11
Flagged first, then by citations
4 of the 10 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Tonde AR, Dhande AP, "Implementation of Advanced Encryption Standard (AES) Algorithm Based on FPGA", International Journal of Current Engineering and Technology, Vol.4, No.2, (2014), pp.1048-1050.
- Sumitra, "Comparative Analysis of AES and DES security Algo- rithms", International Journal of Scientific and Research Publica- tions, Vol.3, No.1, (2013), pp.1-5.
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- Authors
- Ho Jeong, W., Ju, S.-L., Cho, J.-P., & Kim, K.-S.
- Affiliations
- Chungbuk National University (KR)
- Kunsan National University (KR)
- ORCID
- Ju, Sang-Lim
- Venue
- International Journal of Engineering and Technology
- Publisher
- Science Publishing Corporation
- Published
- 2026-04-19
- Volume
- 7
- Issue
- 3.33
- Pages
- 285-289
- ISSN
- 2227-524X (ISSN-L)
- OpenAlex
- W7154953104
- Semantic Scholar
- fecff14d0d8467db5488bab75864ffbd1b540429
- Cited by
- 0
- References
- 10
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Engineering & Technology (publishedVersion)
- Science Publishing Corporation Inc. - International Journal of Engineering & Technology (submittedVersion, cc-by)
- Funders
- National Research Foundation of Korea
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Artificial Intelligence › Coding theory and cryptography
- Keywords
- AES, MF-TDMA, mobile communication security, convolutional turbo codes, AWGN channel, bit error rate, PSNR, network security
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