Abstract
Spectrum sensing data falsification (SSDF) is one of the most dangerous attacks that can degrade the reliability of collaborative spectrum sensing in cognitive radio (CR) networks. In this article, we propose a novel defense strategy to thwart SSDF attacks by intelligently verifying sensory data with the assistance of trusted nodes. The proposed scheme employs an efficient and fast reputation-based algorithm to analyze the behavior of each user. Hence, not only will reliable sensory data be accepted by the central entity, but also, malicious users can be easily identified and removed from the network. Both theoretical and simulation results show that the proposed method provides a powerful countermeasure against SSDF attacks in an adversarial CR environment.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
