Core: a collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks
Proceedings of the IFIP TC6/TC11 Sixth Joint Working Conference on Communications and Multimedia Security: Advanced Communications and Multimedia Security
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Modeling misbehavior in cooperative diversity: a dynamic game approach
EURASIP Journal on Advances in Signal Processing - Special issue on game theory in signal processing and communications
Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks
IEEE Transactions on Signal Processing
Robust Detection of Selfish Misbehavior in Wireless Networks
IEEE Journal on Selected Areas in Communications
A repeated Bayesian auction game for cognitive radio spectrum sharing scheme
Computer Communications
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In this paper, we consider the reliable data fusion problem in a tactical environment in the presence of adversary. First, we characterize malicious behavior of compromised sensors assuming probabilistic models. Performance of the fusion process, in the presence of malicious sensors, is then quantified. The performance analysis shows that malicious sensors incur significant degradation on the fusion process. Our goal is to substantially improve reliability and robustness of data fusion in sensor networks. To this end, we introduce monitoring nodes (MN) that are distributed across a sensor network to detect, identify and isolate malicious sensors. We formulate the interaction between sensors and MN as a dynamic game with incomplete information, which provides a platform for designing reputation based data fusion. The reputation system ensures reliable data fusion by confining the fusion process to trustworthy sensors. We evaluate performance of the reputation system both by analysis and simulation.