NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A survey of trust and reputation systems for online service provision
Decision Support Systems
Identifying unique devices through wireless fingerprinting
WiSec '08 Proceedings of the first ACM conference on Wireless network security
Cognitive radio network architecture: part I -- general structure
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Cognitive radio network architecture: part II -- trusted network layer structure
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Malicious node detection in wireless sensor networks using weighted trust evaluation
Proceedings of the 2008 Spring simulation multiconference
Optimal spectrum sensing framework for cognitive radio networks
IEEE Transactions on Wireless Communications
Toward secure distributed spectrum sensing in cognitive radio networks
IEEE Communications Magazine
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Defense against Primary User Emulation Attacks in Cognitive Radio Networks
IEEE Journal on Selected Areas in Communications
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
Review: Cognitive radio network security: A survey
Journal of Network and Computer Applications
Review of Robust Cooperative Spectrum Sensing Techniques for Cognitive Radio Networks
Wireless Personal Communications: An International Journal
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Cognitive radio (CR) is a promising concept for improving the utilization of scarce radio spectrum resources. A reliable strategy for the detection of unused spectrum bands is essential to the design and practical implementation of CR systems. It is widely accepted that in a real-world environment, cooperative spectrum sensing involving many secondary users scattered in a wide geographical area can greatly improve sensing accuracy. However, some secondary users may misbehave, i.e. provide false sensing information, in an attempt to maximize their own utility gains. Such selfish behaviour, if unchecked, can severely impact the operation of the CR system. In this paper, we propose a novel trustaware hybrid spectrum sensing scheme which can detect misbehaving secondary users and filter out their reported spectrum sensing results from the decision making process. The robustness and efficiency of the proposed scheme are verified through extensive computer simulations.