Collaborative spectrum sensing in the presence of Byzantine attacks in cognitive radio networks

Authors:
Priyank Anand;Ankit Singh Rawat;Hao Chen;Pramod K. Varshney
Affiliations:
Department of Electrical Engineering, Indian Institute of Technology, Kanpur;Department of Electrical Engineering, Indian Institute of Technology, Kanpur;Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY;Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY
Venue:
COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
Year:
2010

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Abstract

Cognitive radio (CR) has emerged as a solution to the problem of spectrum scarcity as it exploits the transmission opportunities in the under-utilized spectrum bands of primary users. Collaborative (or distributed) spectrum sensing has been shown to have various advantages in terms of spectrum utilization and robustness. The data fusion scheme is a key component of collaborative spectrum sensing. In this paper, we analyze the performance limits of collaborative spectrum sensing under Byzantine Attacks where malicious users send false sensing data to the fusion center leading to increased probability of incorrect sensing results. We show that above a certain fraction of Byzantine attackers in the CR network, data fusion scheme becomes completely incapable and no reputation based fusion scheme can achieve any performance gain. We present optimal attacking strategies for given attacking resources and also analyze the possible counter measures at the fusion center (FC).