Cooperative detection of primary user emulation attacks in CRNs

Authors:
Olga LeóN;Juan HernáNdez-Serrano;Miguel Soriano
Affiliations:
Department of Telematics, Universitat Politècnica de Catalunya (UPC), Spain;Department of Telematics, Universitat Politècnica de Catalunya (UPC), Spain;Department of Telematics, Universitat Politècnica de Catalunya (UPC), Spain and Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain
Venue:
Computer Networks: The International Journal of Computer and Telecommunications Networking
Year:
2012

Citing 8
Cited 0

NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
Mitigating primary user emulation attacks in dynamic spectrum access networks using hypothesis testing

ACM SIGMOBILE Mobile Computing and Communications Review
Securing cognitive radio networks

International Journal of Communication Systems
Secure Cooperative Sensing in IEEE 802.22 WRANs Using Shadow Fading Correlation

IEEE Transactions on Mobile Computing
Robust detection of primary user emulation attacks in IEEE 802.22 networks

Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
Relative location estimation in wireless sensor networks

IEEE Transactions on Signal Processing
Overview of radiolocation in CDMA cellular systems

IEEE Communications Magazine
Defense against Primary User Emulation Attacks in Cognitive Radio Networks

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Cognitive radio networks (CRNs) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. With such purpose, coexistence mechanisms among CRN nodes or secondary users and legitimate users of the spectrum or primary users are defined. However, due to the particular features of CRNs, new security threats arise, such as the primary user emulation (PUE) attack, which is the most challenging among all. With the aim of detecting such kind of attacks, in this paper we propose a cooperative localization method specifically suited to CRNs which relies on TDoA measurements and Taylor-series estimations. Simulations results show the goodness of the proposed method and its suitability to typical CRN scenarios.