Defense against spectrum sensing data falsification attacks in mobile ad hoc networks with cognitive radios

Authors:
F. Richard Yu;Helen Tang;Minyi Huang;Zhiqiang Li;Peter C. Mason
Affiliations:
Depart. of Systems and Computer Engin., Carleton University, Ottawa, ON, Canada;Sch. of Math. and Statistics, Defense R&D Canada, Ottawa, ON, Canada;Carleton University, Ottawa, ON, Canada;Depart. of Systems and Computer Engin., Carleton University, Ottawa, ON, Canada;Defense R&D Canada, Ottawa, ON, Canada
Venue:
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Year:
2009

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Abstract

Cognitive radios (CRs) have been considered for use in mobile ad hoc networks (MANETs). The area of security in Cognitive Radio MANETs (CR-MANETs) has yet to receive much attention. However, some distinct characteristics of CRs introduce new, non-trivial security risks to CR-MANETs. In this paper, we study spectrum sensing data falsification (SSDF) attacks to CR-MANETs, in which intruders send false local spectrum sensing results in cooperative spectrum sensing, and SSDF may result in incorrect spectrum sensing decisions by CRs. We present a consensus-based cooperative spectrum sensing scheme to counter SSDF attacks in CR-MANETs. Our scheme is based on recent advances in consensus algorithms that have taken inspiration from self-organizing behavior of animal groups such as fish. Unlike the existing schemes, there is no need for a common receiver to do the data fusion for reaching the final decision to counter SSDF attacks. Simulation results are presented to show the effectiveness of the proposed scheme.