Abstract—In wireless network, when using classical game
theory to study physical layer security, the energy-limited
transmission nodes tend to choose non-cooperative strategy in
order to maximize their own secrecy rate, resulting in reduced
network secrecy rate. To solve this problem, the paper proposes
a cooperative interference method for physical layer security
based on evolutionary game. First, it defines the strategies
(sending artificial noise or signal) and benefits (secrecy rate
under different strategy combination) according to the
evolutionary game. Then, the transmission nodes adjust
strategy to maximize benefits based on current network state
and difference between cooperation benefit and average
expected benefit; Finally, the conditions that the transmitting
nodes can cooperate with each other could achieve, and the
network is evolution from an unstable state to a stable
cooperative state to improve the secrecy rate of the system.
Simulation and analysis results show that under the Gaussian
channel, compared to the traditional game method, the
network secrecy rate of the proposed method can be improved
1bit/s/Hz.
Index Terms—Secrecy rate, evolutionary game, cooperative
interference, eavesdropper.
The authors are with the National Digital Switching System Engineering
& Technological Research Center, Zhengzhou 450002, China (e-mail:
huangkaizhi@tsinghua.org.cn, hongyinghunan@126.com,
13803853365@139.com).
[PDF]
Cite: Kaizhi Huang, Ying Hong, Wenyu Luo, and Shengbin Lin, "Cooperative Interference Based on Evolutionary Game in
Wire-Tap Channel," International Journal of Future Computer and Communication vol. 3, no. 5, pp. 309-314, 2014.
