Guaranteeing Spoof-Resilient Multi-Robot Networks
MASSACHUSETTS INST OF TECH LEXINGTON LEXINGTON United States
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Multi-robot networks use wireless communication to provide wide-ranging services such as aerial surveillance and unmanned delivery. However, effective coordination between multiple robots requires trust, making them particularly vulnerable to cyber-attacks. Specifically, such networks can be gravely disrupted by the Sybil attack, where even a single malicious robot can spoof a large number of fake clients. This paper proposes a new solution to defend against the Sybil attack, without requiring expensive cryptographic key-distribution. Our core contribution is a novel algorithm implemented on commercial Wi-Fi radios that can sense spoofers using the physics of wireless signals. We derive theoretical guarantees on how this algorithm bounds the impact of the Sybil Attack on a broad class of multirobot problems, including locational coverage and unmanned delivery. We experimentally validate our claims using a team of AscTec quad rotor servers and iRobot Create ground clients, and demonstrate spoofer detection rates over 96.
- Radio Countermeasures
- Computer Systems Management and Standards