Detection of Primary User Emulation Attack Based on Modified Adaptive Orthogonal Matched Pursuit for Cognitive Radio Networks in HCRAN
Nowadays,it has been reported by researchers that the biggest spectrum assignment problem is not scarcity of radio resources,but rather spectrum utilization.Cognitive radio(CR)emerges as a potential candidate to increase spectral efficiency.However,for a single CR to accurately detect the activity state of PUs,many factors have made it hard.Therefore,Cooperate Spectrum Sensing(CSS)has been introduced to improve detection performance;but this introduces security problem due to the presence of malicious attackers;which can be for instance incumbent emulation by Primary User Emulation Attacker(PUEA).In this paper,A Modified Advanced Orthogonal Matching Pursuit(MAOMP)is proposed to detect the presence of PEUA in a CR network based on locations of the users.Restricted Issometry Property(RIP)is used to evaluate the performace.This paper presents a fast,accurate and efficient approach to detect PUEAs present in the network.
Compressed sensing cognitive radio networks network security
Lilly Abau Yosia Odwa Yueyun Chen Zhiyuan Mai
School of Computer&Communication Engineering,University of Science and Technology Beijing,Beijing,China
国际会议
2019国图灵大会(ACM Turing Celebration conference-China 2019 )
成都
英文
843-849
2019-05-17（万方平台首次上网日期，不代表论文的发表时间）