dc.date.accessioned | 2015-06-16T22:00:03Z | |
dc.date.accessioned | 2018-11-26T22:27:28Z | |
dc.date.available | 2015-06-16T22:00:03Z | |
dc.date.available | 2018-11-26T22:27:28Z | |
dc.date.issued | July 2015 | |
dc.identifier.citation | Robotics Science and Systems | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/97442 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/97442 | |
dc.description.abstract | 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 robotic coverage problems. We experimentally validate our claims using a team of AscTec quadrotor servers and iRobot Create ground clients, and demonstrate spoofer detection rates over 96%. | en_US |
dc.format.extent | 13 p. | en_US |
dc.rights | Creative Commons Attribution-Non Commercial-No Derivative Works 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | cyber-physcial systems | en_US |
dc.subject | cybersecurity | en_US |
dc.title | Guaranteeing Spoof-Resilient Multi-Robot Networks | en_US |