窃听双向协作网络机会中继选择方案的保密性能分析

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Study on classification method of multi-core scale convolutional neural network for ECG components

For multi-relay and eavesdropping two-way cooperative networks, opportunistic relay selection and analog network coding technology are studied to enhance the physical layer security of eavesdropping system. The communication between the two sources of the wiretap two-way cooperative relay network consists of three phases. In the first/second phase, a source transmits a message to the relays. In the third phase, the max-min opportunistic relay selection scheme is proposed to mitigate the eavesdropping attacks. Specifically, a relay who can successfully decode the source messages is selected. Then, the selected relay combines the obtained source messages with each other by the analog network coding, and broadcasts the mixed message to the sources. We analyze the secrecy performance of the max-min relay selection scheme, and derive closed-form expression of the secrecy outage probability for proposed relay selection. To gain further insight into the secrecy performance of the max-min relay selection scheme, we conduct an asymptotic analysis of the considered opportunistic relay selection and show that the secrecy diversity order of the max-min relay selection scheme is equal to the number of relays. Numerical results indicate that the secrecy outage probability can be significantly decreased by increasing the number of relays.