| Title | Robust Spectrum Sensing Scheme against Malicious Users Attack in a Cognitive Radio Network |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Clement, J. Christopher, Sriharipriya, K. C. |
| Conference Name | 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) |
| Keywords | Cognitive radio, Cognitive Radio Security, Ellipsoids, Malicious Cognitive Radio User, pubcrawl, resilience, Resiliency, Sensors, simulation, spectrum sensing |
| Abstract | In this paper, we introduce cooperative spectrum sensing (CSS) scheme for detection of primary user (PU) in a cognitive radio network. Our scheme is based on a separating-hyperplane that discriminates between ellipsoids corresponding to two hypotheses. Additionally, we present a method to eliminate malicious cognitive radio users (MCRUs) that send false sensing data to the fusion center (FC) and degrade the system's detection performance. Simulation results verify the outperformance of the proposed method for the elimination of MCRUs and detection of PU. |
| DOI | 10.1109/ICECET52533.2021.9698612 |
| Citation Key | clement_robust_2021 |
Robust Spectrum Sensing Scheme against Malicious Users Attack in a Cognitive Radio Network