In this paper, we propose an energy efficient cooperative monitoring algorithm for detecting and localizing adversarial communications in the presence of malicious reporting, Our solution is based on a combination of a game theory formulation for distributivity managing the monitoring-energy tradeoffs and a novel recursive trilateration algorithm which provides robustness to measurement errors and malicious reporting. Our results show that the energy consumption for monitoring is significantly reduced for our proposed solution compared to the all monitoring benchmark, and that the algorithm shows high robustness to malicious reporting. Our proposed method was able to still correctly localize the adversarial source within a specified tolerance error, and within a prescribed number of monitoring epochs, 83% of the time, when 25% of the monitoring nodes were compromised, reporting maliciously.
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