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Prof. Mostafa Fouda :: Publications:

Title:
“Intrusion Detection System (IDS) for Combating Attacks Against Cognitive Radio Networks,” IEEE Network Magazine, vol. 27, no. 3, pp. 51-56, May-June 2013.
Authors: Zubair Md. Fadlullah, Hiroki Nishiyama, Nei Kato, and Mostafa M. Fouda
Year: 2013
Keywords: Not Available
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link:
Full paper Mustafa Mohamed Mustafa Abd Eldaim Fouda_2013.Network_Mag_May.pdf
Supplementary materials Not Available
Abstract:

While cognitive radio networks (CRNs) present a promising solution to solve the scarcity of the radio spectrum, they are still susceptible to security threats. Until now, only a few researchers considered the use of intrusion detection systems (IDSs) to combat these threats against CRNs. In this article we describe a CRN based on IEEE wireless regional area network (WRAN) and describe some of the security threats against it. For the secondary users in the CRN to quickly detect whether they are being attacked, a simple yet effective IDS is then presented. Our proposal uses non-parametric cumulative sum (cusum) as the change point detection algorithm to discover the abnormal behavior due to attacks. Our proposed IDS adopts an anomaly detection approach and it profiles the CRN system parameters through a learning phase. So, our proposal is also able to detect new types of attacks. As an example, we present the case of detection of a jamming attack, which was not known to the IDS beforehand. The proposed IDS is evaluated through computer based simulations, and the simulation results clearly indicate the effectiveness of our proposal.

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