On Jamming Models Against Collaborative Spectrum Sensing in a Simple Cognitive Radio Network
We design the optimal jamming attack strategy for a cognitive radio network in the presence of path-loss decaying signal models. We consider a cognitive radio network with K participating cognitive radios and one fusion center in the presence of one primary user and one jammer in the operating region. We assume that the network is not aware of the presence of the jammer and hence employs the optimal decision rules designed for a benign environment. Jammer, on the other hand, tries to take advantage of this ignorance and carries the best possible attack so that it can maximally deteriorate the global performance (error-probability) of the network under a total power-constraint. We consider a two-fold attack - one on the CR (sensor) reception and other on the fusion center reception. We present numerical results depicting near-field and far-field effects over different path-loss exponents to find the optimal jamming attack for a relatively simple example where the network has only one sensor (K = 1). This example serves as an illustration of the basic concepts and will be followed by a more in-depth study.
V. S. Nadendla et al., "On Jamming Models Against Collaborative Spectrum Sensing in a Simple Cognitive Radio Network," Proceedings of the 44th Asilomar Conference on Signals, Systems and Computers (2010, Pacific Grove, CA), pp. 961 - 965, Institute of Electrical and Electronics Engineers (IEEE), Nov 2010.
The definitive version is available at https://doi.org/10.1109/ACSSC.2010.5757710
44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 (2010: Nov. 7-10, Pacific Grove, CA)
Keywords and Phrases
Attack Strategies; Basic Concepts; Cognitive Radio; Cognitive Radio Network; Far-Field Effect; Fusion Center; Global Performance; In-Depth Study; Near-Field; Numerical Results; Operating Regions; Optimal Decision-Rule; Path Loss; Signal Models; Spectrum Sensing, Cognitive Systems; Jamming; Optimization; Radio Systems; Sensors, Radio
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Article - Conference proceedings
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01 Nov 2010