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A MULTICAST KEY MANAGEMENT SCHEME BASED ON characteristic values OF MEMBERS

Journal of Electronics(China) 2012年第3期29卷 294-301页

作者： Du Xiaoqiang Bao Wansu Fu Xiangqun Institute of Electronic Technology PLA Information Engineering University Zhengzhou 450004 China Unit 95019 of the PLA Xiangyang 441800 China

A new collusion attack on Pour-like schemes is proposed in this paper. Then, we present a collusion-free centralized multicast key management scheme based on characteristic values of members. The re-keying method that other group members calculate new keys when a member is joining or leaving is also designed. It achieves forward secrecy and backward secrecy. Compared with typical existing centralized schemes, the storage of Group Key Controller (GKC) in our scheme halves the storage overhead of others, and communication overhead of GKC is 2 in case of joining re-keying. Especially, the leaving re-keying overhead is and the overall performance is excellent.

关键词： Security multicast Key management characteristic values Collusion Re-keying

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A MULTICAST KEY MANAGEMENT SCHEME BASED ON characteristic values OF MEMBERS

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Journal of Electronics(China) 2012年第Z2期 294-301页

作者： Du Xiaoqiang* ** Bao Wansu* Fu Xiangqun* *(Institute of Electronic Technology, PLA Information Engineering University, Zhengzhou 450004, China) **(Unit 95019 of the PLA, Xiangyang 441800, China)

关键词： Security multicast Key management characteristic values Collusion Re-keying

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A More Effective Method of Extracting the characteristic Value of Pulse Wave Signal Based on Wavelet Transform

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Journal of Biomedical Science and Engineering 2016年第10期9卷 9-19页

作者： Xuanwei Zhang Yazhou Shang Daoxin Guo Tianxia Zhao Qiuping Li Xin’an Wang The Key Laboratory of Integrated Microsystems Peking University Shenzhen Graduate School Shenzhen China

Pulse wave contains human physiological and pathological information. Different people will exhibit different characteristics, and hence determining the characteristic points of the pulse wave of human physiological health makes sense. It is common that we extract the characteristic value of pulse wave signal with the method based on wavelet transform on a small scale, and then determine the locations of the characteristic points by modulus maxima and modulus minima. Before determining characteristic value by detecting modulus maxima and modulus minima, we need to determine every period of the pulse wave. This paper presents a new kind of adaptive threshold determination method which is more effective. It can accurately determine every period of the pulse wave, and then extract characteristic values by modulus maxima and modulus minima in every period of the pulse wave. The method presented in this paper promotes the research utilizing pulse wave on health life.

关键词： Pulse Wave Wavelet Transform Adaptive Threshold characteristic values

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