Abstract
Existing studies on pilot contamination attack often assume that the attack and jamming strategies of adversaries are fixed. The enemy has not made any strategic corrections to the detection plan. In this paper, we analyze how an intelligent malicious user considers the role of legitimate user and adjusts attacking strategy during training phase in wireless communication to improve his eavesdropping performance. By defender-attacker interaction as a Stackelberg game, Bob as the leader chooses his pilot training power, while a full-duplex eavesdropper as the follower determines the pilot contamination power according to the observed Bob’s ongoing training signals transmission. Two equilibriums under different strategy spaces are analyzed. Simulation results show that the proposed scheme can defend against an intelligent active eavesdropper with a higher secrecy rate and utility.
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Funding
This work (correspondence author: Yichen Wang) was supported in part by the National Natural Science Foundation of China under Grant 61871314, in part by the Fundamental Research Plan under Grant JCKY2021205B075, and in part by the Key Research and Development Program of Shaanxi Province under Grant 2019ZDLGY07-04.
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Author Yichen Wang has received research support from the National Natural Science Foundation of China. Author Zhangnan Wang has received research funding from Xi’an Jiaotong University.
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Wang, Z., Wang, Y. An Intelligent Pilot Contamination Attacker-Defender Model for Wireless Networks: A Stackelberg Game Based Approach. Mobile Netw Appl 27, 2163–2169 (2022). https://doi.org/10.1007/s11036-022-02012-7
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DOI: https://doi.org/10.1007/s11036-022-02012-7