A New Method to Detect Primary User Emulation Attacks in Cognitive Radio Networks

DOI

10.2991/csss-14.2014.156How to use a DOI?

Keywords

Cognitive radio; PUE attacks; received signal strength (RSS); Kalman filter algorithm; BP neural network

Abstract

Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. However, the security aspects of cognitive radio networks have garnered little attention. In this paper, we identify a threat to cognitive radio networks, which we call the primary user emulation (PUE) attack. To counter this threat, we proposed a new method to detect the PUE attacks which not only discuss in two kinds of situation which the primary user is stationary or mobile, but also use the Kalman filter algorithm to process the received mobile source’s signal strength (RSS) value. And then, we apply with the BP neural network training and testing to complete the detection of PUE attacks. Simulations results show the goodness of the proposed method.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Peng Kai
AU  - Zeng Fanzi
AU  - Zeng Qingguang
PY  - 2014/06
DA  - 2014/06
TI  - A New Method to Detect Primary User Emulation Attacks in Cognitive Radio Networks
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 674
EP  - 677
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.156
DO  - 10.2991/csss-14.2014.156
ID  - Kai2014/06
ER  -