@inproceedings{614efc593da144958a696850492c43e2,
title = "Adaptive Learning of Byzantines' Behavior in Cooperative Spectrum Sensing",
abstract = " This paper considers the problem of Byzantine attacks on cooperative spectrum sensing in cognitive radio networks. Our major contribution is a technique to learn about the cognitive radio (CR) potential malicious behavior over time and thereby identifies the Byzantines and then estimates their probabilities of false alarm (Pf a ) and detection (P D ). We show that for a given set of data over time, the Byzantines can be identified for any a (percentage of Byzantines). It has also been shown that these estimates of Pf a and Pn of the Byzantines are asymptotically unbiased and converge to their true values at the rate of O(T -1/2 ). We then use these probabilities to adaptively design the fusion rule. We calculate the Probability of error (Q e ) and compare it with the minimum probability of error possible.",
keywords = "Byzantine AttacksC, Byzantine Attacksognitive Radio Networks, ognitive Radio Networks, Spectrum Sensing",
author = "Aditya Vempaty and Keshav Agrawal and Hao Chen and Pramod Varshney",
year = "2011",
month = mar,
day = "28",
doi = "10.1109/WCNC.2011.5779320",
language = "American English",
isbn = "9781612842547",
series = "2011 IEEE Wireless Communications and Networking Conference (WCNC 2011), March 28-31 2011, Piscataway, NJ",
pages = "1310--1315",
booktitle = "2011 IEEE Wireless Communications and Networking Conference, WCNC 2011",
note = "2011 IEEE Wireless Communications and Networking Conference, WCNC 2011 ; Conference date: 28-03-2011 Through 31-03-2011",
}