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  1. Proceedings of the 1st international conference on High Confidence Networked Systems (HiCoNS '12)
  2. Leader selection games under link noise injection attacks
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Consensus of multi-agent networks in the presence of adversaries using only local information
Leader selection games under link noise injection attacks
Integrity attacks on cyber-physical systems
NCS security experimentation using DETER
HMM-based characterization of channel behavior for networked control systems
A dynamic game-theoretic approach to resilient control system design for cascading failures
Attack models and scenarios for networked control systems
Integrated simulation and emulation platform for cyber-physical system security experimentation
Coordinated variable structure switching in smart power systems: attacks and mitigation
Distributed detection and isolation of topology attacks in power networks

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Leader selection games under link noise injection attacks

Content Provider ACM Digital Library
Author Clark, Andrew Bushnell, Linda Poovendran, Radha
Abstract In a leader-follower multi-agent system, the states of a set of leader agents are controlled directly by the system owner and used to influence the behavior of the remaining follower agents. When deployed in hostile environments, leader-follower systems may be disrupted by adversaries introducing noise in the communication links between agents through interference or false packet insertion, thus corrupting the states of the follower agents. In this paper, we study the problem of mitigating the effect of noise injection attacks by selecting leader agents. We address two cases within a supermodular game-theoretic framework. In the first case, a fixed set of leaders is chosen when the system is initialized. We model this case as a Stackelberg game, in which the system moves first by choosing leaders in order to minimize the worst-case error and the adversary responds by introducing noise. In the second case, the set of leaders varies over time. We study the second case as a simultaneous-move game between the system and an adversary. We show that the game formulations for both cases have equilibria that can be approximated up to a provable bound using supermodular optimization techniques. We illustrate our approach via simulations.
Starting Page 31
Ending Page 40
Page Count 10
File Format PDF
ISBN 9781450312639
DOI 10.1145/2185505.2185511
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-04-17
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Submodular optimization Game theory Multi-agent systems
Content Type Text
Resource Type Article
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