Towards a cooperative intrusion detection system for cognitive radio networks

Authors:
Olga León;Rodrigo Román;Juan Hernández-Serrano
Affiliations:
Universitat Politècnica de Catalunya;Universidad de Málaga;Universitat Politècnica de Catalunya
Venue:
NETWORKING'11 Proceedings of the IFIP TC 6th international conference on Networking
Year:
2011

Citing 7
Cited 2

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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
Dogfight in spectrum: combating primary user emulation attacks in cognitive radio systems, part I: known channel statistics

IEEE Transactions on Wireless Communications
Modeling the lion attack in cognitive radio networks

EURASIP Journal on Wireless Communications and Networking - Special issue on security and resilience for smart devices and applications
Intrusion detection in wireless ad hoc networks

IEEE Wireless Communications

Review: Cognitive radio network security: A survey

Journal of Network and Computer Applications
Survey An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique

Engineering Applications of Artificial Intelligence

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Abstract

Cognitive Radio Networks (CRNs) arise as a promising solution to the scarcity of spectrum. By means of cooperation and smart decisions influenced by previous knowledge, CRNs are able to detect and profit from the best spectrum opportunities without interfering primary licensed users. However, besides the well-known attacks to wireless networks, new attacks threat this type of networks. In this paper we analyze these threats and propose a set of intrusion detection modules targeted to detect them. Provided method will allow a CRN to identify attack sources and types of attacks, and to properly react against them.