Paper Info
Title
Decision fusion with corrupted reports in multi-sensor networks: A game-theoretic approach
Abstract
Decision fusion in adversarial setting is receiving increasing attention due to its relevance in several applications including sensor networks, cognitive radio, social networks, distributed network monitoring. In most cases, a fusion center has to make a decision based on the reports provided by local agents, e.g. the nodes of a multi-sensor network. In this paper, we consider a setup in which the fusion center makes its decision on the status of an observed system by relying on the decisions made by a pool of local nodes and by taking into account the possibility that some nodes maliciously corrupt their reports to induce a decision error. We do so by casting the problem into a game-theoretic framework and looking for the existence of an equilibrium point defining the optimum strategies for the fusion center and the malicious nodes. We analyze two different strategies for the fusion center: a strategy recently introduced by Varshney et al. in a cognitive radio setup and a new approach based on soft identification of malicious nodes. The superior performance of the new decision scheme are demonstrated by resorting to the game-theoretic framework introduced previously.
Year
DOI
Venue
2014
10.1109/CDC.2014.7039431
CDC
Keywords
Field
DocType
fusion center,adversarial setting,distributed network monitoring,game-theoretic approach,social networks,cognitive radio,decision fusion,malicious nodes,sensor networks,game theory,sensor fusion,multi-sensor networks
Mathematical optimization,Social network,Computer science,Modeling and simulation,Equilibrium point,Fusion center,Artificial intelligence,Network monitoring,Wireless sensor network,Decision-making,Distributed computing,Cognitive radio
Conference
ISSN
Citations 
PageRank 
0743-1546
1
0.36
References 
Authors
12
4
Name
Order
Citations
PageRank
Andrea Abrardo137647.39
M. Barni23091246.21
Kassem Kallas372.82
Benedetta Tondi416718.20