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2020-04-10
Tan, Yeteng, Pu, Tao, Zheng, Jilin, Zhou, Hua, Su, Guorui, Shi, Haiqin.  2019.  Study on the Effect of System Parameters on Physical-Layer Security of Optical CDMA Systems. 2019 18th International Conference on Optical Communications and Networks (ICOCN). :1—3.
Optical CDMA (OCMDA) technology directly encrypts optical transmission links at the physical layer, which can improve the security of communication system against fibre-optic eavesdropping attacks. System parameters will affect the performances of OCDMA systems, based on the wiretap channel model of OCDMA systems, "secrecy capacity" is employed as an indicator to estimate the effects of system parameters (the type of code words, the length of code words) on the security of the systems. Simulation results demonstrate that system parameters play an important role and choosing the code words with better cross-correlation characteristics can improve the security of OCDMA systems.
2019-01-21
Wang, X., Hou, Y., Huang, X., Li, D., Tao, X., Xu, J..  2018.  Security Analysis of Key Extraction from Physical Measurements with Multiple Adversaries. 2018 IEEE International Conference on Communications Workshops (ICC Workshops). :1–6.
In this paper, security of secret key extraction scheme is evaluated for private communication between legitimate wireless devices. Multiple adversaries that distribute around these legitimate wireless devices eavesdrop on the data transmitted between them, and deduce the secret key. Conditional min-entropy given the view of those adversaries is utilized as security evaluation metric in this paper. Besides, the wiretap channel model and hidden Markov model (HMM) are regarded as the channel model and a dynamic programming approach is used to approximate conditional min- entropy. Two algorithms are proposed to mathematically calculate the conditional min- entropy by combining the Viterbi algorithm with the Forward algorithm. Optimal method with multiple adversaries (OME) algorithm is proposed firstly, which has superior performance but exponential computation complexity. To reduce this complexity, suboptimal method with multiple adversaries (SOME) algorithm is proposed, using performance degradation for the computation complexity reduction. In addition to the theoretical analysis, simulation results further show that the OME algorithm indeed has superior performance as well as the SOME algorithm has more efficient computation.