Robust regression and outlier detection
Robust regression and outlier detection
Cooperation enforcement schemes for MANETs: a survey: Research Articles
Wireless Communications & Mobile Computing - Wireless Network Security
Robust statistical methods for securing wireless localization in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
International Journal of Sensor Networks
ACM SIGMOBILE Mobile Computing and Communications Review
Towards a trust aware cognitive radio architecture
ACM SIGMOBILE Mobile Computing and Communications Review
Securing cognitive radio networks
International Journal of Communication Systems
Defense against Primary User Emulation Attacks in Cognitive Radio Networks
IEEE Journal on Selected Areas in Communications
Cooperative detection of primary user emulation attacks in CRNs
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Cognitive Radio (CR) technology constitutes a new paradigm where wireless devices can access the spectrum left unused by licensed or primary users in an opportunistic way. This feature opens the door to a main new threat: the Primary User Emulation (PUE) attack, in which a malicious user transmits a fake primary signal preventing a Cognitive Radio Network (CRN) from using the available spectrum. Cooperative location of a primary source can be a valuable tool for distinguishing between a legitimate transmission and a PUE attack whenever the position of primary users is known, as it is the case of TV towers in the IEEE 802.22 standard. However, the location process can be undermined due to false data provided by malicious or faulty nodes. In this paper, we analyze the effect of forged reports on the location process of a given emitter and provide a set of countermeasures in order to make it robust to undesired behaviors.