Design of Anti-Eavesdropping Scheme for SLT-LT Codes Based on Random Symbol Sets

Zhang, Si; Niu, Fanglin; Yu, Ling; Zhang, Yongxiang

doi:10.1109/access.2022.3178811

Cited by 3 publications

(25 citation statements)

References 25 publications

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“…Ref. [ 22 ] applied the SLT code to the Wyner channel model for research, and found that the value of

would affect the system decoding overhead and eavesdropper error rate. The bit error rate of the eavesdropper shows a sawtooth change with the increase in

, and the peak value of the sawtooth gradually decreases.…”

Section: Slt Code and Degree Distributionmentioning

confidence: 99%

“…Ref. [ 22 ] pointed out that when SLT is used as the secure coding method, the bit error rate of the eavesdropper is higher when the legitimate receiver receives

and

transferred information symbols. When

, the SLT code degenerates into the traditional LT code.…”

Section: Slt Code and Degree Distributionmentioning

confidence: 99%

“…We compare this with the LT scheme, the SLT scheme, and the SLT-LT cascade scheme in Ref. [ 22 ]. Considering that there is only one eavesdropping channel in each stage of information transmission, for the convenience of analysis and discussion, we assume that

, and Eve and Bob have the same decoding rules, and use Matlab for simulation.…”

Section: Simulation and Analysismentioning

confidence: 99%

“…However, in the SLT-LT concatenated coding scheme of the Ref. [ 22 ], since concatenated coding and decoding are required, the coding and decoding complexity is relatively high, and more codewords are required to complete the decoding.…”

Section: Simulation and Analysismentioning

confidence: 99%

“…Ref. [ 22 ] applied SLT in secure communication for research, and cascaded SLT code and LT code, which effectively improved the system security, but the proposed scheme had high computational complexity and higher requirements for the system’s encoding and decoding performance.…”

Section: Introductionmentioning

confidence: 99%

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Shifted LT Code Security Scheme for Partial Information Encryption

Zhang

Niu

Wang

et al. 2022

Entropy

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The existing physical layer security technology based on fountain codes needs to ensure that the legal channel is superior to the eavesdropping channel; when the quality of the legal channel and the eavesdropping channel are close, the information security cannot be guaranteed. Aiming at this problem, this paper proposes a shifted Luby transform (SLT) code security scheme for partial information encryption, which is mainly divided into two stages, partial information encryption transfer and degree distribution adjustment. The main idea is that the source randomly extracts part of the information symbols, and performs XOR encryption with the random sequence containing the main channel noise sent by the legitimate receiver. Afterward, the degree distribution is adjusted using the number of transfer information symbols received by the legitimate receiver to improve the average degree of the encoded codewords. Since the eavesdropper can only obtain fewer information symbols in the initial stage, it is difficult to decode the generated coded symbols after the degree distribution adjustment, thereby ensuring the safe transmission of information. The experimental results show that, compared with other LT anti-eavesdropping schemes, even if the legitimate channel is not dominant, the proposed scheme still has better security performance and less decoding overhead.

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“…Ref. [ 22 ] applied the SLT code to the Wyner channel model for research, and found that the value of

would affect the system decoding overhead and eavesdropper error rate. The bit error rate of the eavesdropper shows a sawtooth change with the increase in

, and the peak value of the sawtooth gradually decreases.…”

Section: Slt Code and Degree Distributionmentioning

confidence: 99%

“…Ref. [ 22 ] pointed out that when SLT is used as the secure coding method, the bit error rate of the eavesdropper is higher when the legitimate receiver receives

and

transferred information symbols. When

, the SLT code degenerates into the traditional LT code.…”

Section: Slt Code and Degree Distributionmentioning

confidence: 99%

, and Eve and Bob have the same decoding rules, and use Matlab for simulation.…”

Section: Simulation and Analysismentioning

confidence: 99%

Section: Simulation and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Shifted LT Code Security Scheme for Partial Information Encryption

Zhang

Niu

Wang

et al. 2022

Entropy

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Fountain Code-Based LT-SLT Anti-Eavesdropping Coding Design

Wang,

Niu,

Qian

et al. 2023

IEEE Access

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In wireless communication wiretap channel, for the eavesdropper to obtain the legitimate receiver decoding rules situation, this paper proposes a LT-SLT fountain code anti-eavesdropping channel coding design. This method targets the Luby Transform (LT) code transmission for some of the original symbols of the Shifted LT (SLT) code and utilizes the fountain code to receive the correct symbols in different noise channels with differential characteristics so that the decoding process of the eavesdropper changes and cannot be decoded in synchronization with the legitimate receivers, and then the partial symbols of the recovered source are different from those of the legitimate receivers. When these symbols continue to participate in SLT decoding, increasing the untranslated rate of the eavesdropper. Experimental results show that although the method proposed in this paper increases the number of decoded symbols by a small amount, the eavesdropper untranslated rate of this scheme gets improved by about 15% when the main channel or the wiretap channel is varied individually, compared with LT code and SLT code. When both the main channel and the wiretap channel are varied simultaneously, the untranslated rate of the eavesdropper in this scheme gets approximately 30% higher compared to LT code and SLT code, and the untranslated rate of the eavesdropper in this scheme gets approximately 14% higher compared to SLT-LT fountain code. When the main channel is worse or slightly better than the wiretap channel, the untranslated rate of eavesdroppers of this scheme is better than that of SLT-LT fountain code, which effectively ensures secure transmission of information.INDEX TERMS Anti-eavesdropping, erase channel, physical layer security, fountain codes, coding complexity.

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Analysis and Research on Secondary LT Coding Anti-Eavesdropping Scheme Based on LT Code Degree-1

Wang,

Niu,

Jin

et al. 2023

Applied Sciences

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Fountain code can significantly increase eavesdroppers’ untranslated efficiency in the wireless communication eavesdropping channel. The secondary LT coding anti-eavesdropping scheme with fountain code degree-1 is the subject of a theoretical investigation in this paper. The fact that its channel security capacity is greater than that of traditional LT code is first deduced from an information-theoretic standpoint, and the impact of source symbol length on decoding complexity and decoding overhead is then examined. The experimental results show that, compared with the traditional anti-eavesdropping twice fountain code, selecting long source symbols for double LT coding, when the main channel is better than the eavesdropping channel, can ensure that the eavesdropper has a higher untranslated efficiency, and can effectively reduce the fountain code decoding complexity and the number of encoded symbols sent by the source to improve the efficiency of information transmission.

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Design of Anti-Eavesdropping Scheme for SLT-LT Codes Based on Random Symbol Sets

Cited by 3 publications

References 25 publications

Shifted LT Code Security Scheme for Partial Information Encryption

Shifted LT Code Security Scheme for Partial Information Encryption

Fountain Code-Based LT-SLT Anti-Eavesdropping Coding Design

Analysis and Research on Secondary LT Coding Anti-Eavesdropping Scheme Based on LT Code Degree-1

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