Fragility-Aware Stealthy Attack Strategy for Multi-Robot Systems against Multi-Hop Wireless Networks

Abstract

This paper proposes a fragility-aware stealthy attack for multiple mobile robots to secretly learn the accurate model of a multi-hop wireless network (MHWN). The stealthy attack scenario consists of three steps: active detection, node hijacking, and network eavesdropping. Our goal is to design distributed motion control strategies for naive attackers, for obtaining the connectivity information to evaluate the fragility degree of each node in MHWN. We designed a switching control strategy, which includes (i) move-to-fragile-neighbors-barycenter (MFNB) law and (ii) move-to-undetected-region-centroid (MURC) law. This strategy can drive mobile attackers to detect, hijack and eavesdrop on the MHWN’s nodes as quickly as possible. As a result, the fragility degree map of MHWN can be secretly learned to paralyze the whole network. Finally, the simulation results show that the proposed strategy is effective.