摘要
In this paper,we discuss the physical layer security from a new angle of view and propose a novel approach to resist some attacks in signal processing perspective.The scenario considered in this paper is that the eavesdropper has the similar channel performance compared to the legitimate receiver.We design the optimal artificial noise(AN)to resist the attacks of the eavesdropper who uses the blind source separation(BSS)technology to reconstruct the secret information.For speech signals,the optimal AN is obtained by minimizing the maximum of the correlation coefficients between the source signal and the received signals at Eve and the correlation coefficients between the source signal and separated results of BSS.For binary phase shift keying(BPSK)signals,we maximize the minimum bit error rates(BERs)of the separated signals and the obtained signals at Eve.Moreover,we consider the AN design from the point of breaking the BSS conditions,and propose a method by changing the correlation coefficient randomly.The simulation results show that the AN we proposed has better performance than that of the white Gaussian AN to resist the BSS attacks for both speech signals and the BPSK signals.
In this paper, we discuss the physical layer security from a new angle of view and propose a novel approach to resist some attacks in signal processing perspective. The scenario considered in this paper is that the eavesdropper has the similar channel performance compared to the legitimate receiver. We design the optimal artificial noise （AN） to resist the attacks of the eavesdropper who uses the blind source separation （BSS） technology to reconstruct the secret information. For speech signals, the optimal AN is obtained by minimizing the maximum of the correlation coefficients between the source signal and the received signals at Eve and the correlation coefficients between the source signal and separated results of BSS. For binary phase shift keying （BPSK） signals, we maximize the minimum bit error rates （BERs） of the separated signals and the obtained signals at Eve. Moreover, we consider the AN design from the point of breaking the BSS conditions, and propose a method by changing the correlation coefficient randomly. The simulation results show that the AN we proposed has better performance than that of the white Gaussian AN to resist the BSS attacks for both speech signals and the BPSK signals.
基金
supported by the National‘‘Twelfth Five-Year’’Project of China(2012BAH38B05)
关键词
盲源分离
抗攻击
安全计划
噪声
BPSK信号
信号处理
相关系数
语音信号
Physical layer security ； Artificial noiseBlind source separation ； Second order statistics ；Wireless communication
