A robust malicious user detection scheme in cooperative spectrum sensing

Changlong Chen, Min Song, Chunsheng Xin, Mansoor Alam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

32 Scopus citations

Abstract

In cognitive radio networks, cooperative spectrum sensing is critical for secondary users to accurately detect primary users. However, it is vulnerable to attacks from malicious users, which intentionally report incorrect sensing results, to mislead other secondary users or the fusion center in decision making. Therefore, detection of malicious users is extremely important for spectrum sensing. This paper proposes a decentralized scheme to detect malicious users in cooperative spectrum sensing. The scheme utilizes spatial correlation of received signal strengths among secondary users in close proximity and is based on robust outlier-detection technique. We have also proposed a neighborhood majority voting approach for the secondary users to decide if a specific user is malicious. Simulation results show that the proposed scheme can achieve a very good performance in detecting malicious users.

Original languageEnglish
Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
Pages4856-4861
Number of pages6
DOIs
StatePublished - 2012
Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
Duration: 3 Dec 20127 Dec 2012

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2012 IEEE Global Communications Conference, GLOBECOM 2012
Country/TerritoryUnited States
CityAnaheim, CA
Period3/12/127/12/12

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