Providing Efficient and Secure Cooperative Spectrum Sensing for Multi-Channel Cognitive Radio Networks

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dc.contributor.authorKasiri Mashhad, Behzad
dc.contributor.examiningcommitteeYahampath, Pradeepa (Electrical and Computer Engineering) Wang, Xikui (Statistics) Cheng, Yu (Illinois Institute of Technology)en_US
dc.contributor.supervisorCai, Jun (Electrical and Computer Engineering) Alfa, Attahiru S. (Electrical and Computer Engineering)en_US
dc.date.accessioned2014-01-15T13:46:02Z
dc.date.available2014-01-15T13:46:02Z
dc.date.issued2013en_US
dc.date.issued2012en_US
dc.date.issued2011en_US
dc.date.issued2011en_US
dc.date.issued2011en_US
dc.date.issued2010en_US
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.abstractThe focus of this thesis is on cooperative spectrum sensing and related security issues in multi-channel cognitive radio networks (MCCRNs). We first study the channel assignment for cooperative spectrum sensing in MCCRNs to maximize the number of available channels. In centralized implementation, a heuristic scheme is proposed along with a greedy scheme to reduce the reported information from the cognitive radios (CRs). In distributed scenario, a novel scheme with multi-round operation is designed following the coalitional game theory. Next, we focus on the physical layer security issues for cooperative spectrum sensing in MCCRNs, caused by Byzantine attacks. New counterattacks are proposed to combat attacks comprising coalition head and CRs as Byzantine attackers, which target to reduce the number of available channels for sensing in distributed MCCRNs. First, a new secure coalition head selection is proposed, by using statistical properties of the exchanged SNRs in the coalitions. Then, an iterative algorithm is proposed to block out attackers, if they continue attacking the system. The important problem of key management is considered next, and an energy-efficient identity-based and a certificate-based distributed key management schemes are proposed. First, a new elliptic curve cryptography (ECC)-based distributed private key generation scheme is proposed to combat the single point of failure problem along with novel distributed private key generator (DPKG) selection schemes to preserve security and energy-efficiency. Because of its importance in the proposed identity-based key management scheme, we further propose a low-complexity DPKG assignment, based on multi-objective programming, which can capture DPKG fairness in addition to energy-efficiency. Finally, a more powerful and intelligent distributed cooperative Byzantine attack on the proposed multi-channel cooperative spectrum sensing is proposed, where attackers collude by applying coalitional game theory to maximize the number of invaded channels in a distributed manner. As a remedy, a hierarchical identity-based key management scheme is proposed, in which CRs can only play on a certain number of requested channels and channel access for sensing is limited to the honest CRs selected in the coalitional game. Simulation results show that the proposed schemes can significantly improve cooperative spectrum sensing and secure the system against Byzantine attacks.en_US
dc.description.noteFebruary 2014en_US
dc.identifier.citationW. Wang, B. Kasiri, J. Cai, A.S. Alfa, “Channel assignment schemes for cooperative spectrum sensing in multi-channel cognitive radio networks”, Wireless Communications and Mobile Computing, Wiley, doi: 10.1002/wcm.2442, 2013.en_US
dc.identifier.citationB. Kasiri, J. Cai, A.S. Alfa, “Lightweight key management in distributed multi-channel cognitive radio networks,” Military Communications Conference (MILCOM’12), pp. 1-6, Orlando, FL, USA, Oct. 2012.en_US
dc.identifier.citationB. Kasiri, J. Cai, A.S. Alfa, W. Wang, “A distributed cooperative attack on the multi-channel spectrum sensing: a coalitional game study,” IEEE Global Telecommunications Conference (GLOBECOM’11), pp. 1-5, Houston, TX, USA, Dec. 2011.en_US
dc.identifier.citationB. Kasiri, J. Cai, A.S. Alfa, “Secure cooperative multi-channel spectrum sensing in cognitive radio networks,” Military Communications Conference (MILCOM’11), pp. 272-276, Baltimore, MD, USA, Nov. 2011.en_US
dc.identifier.citationW. Wang, B. Kasiri, J. Cai, and A. S. Alfa, “Channel assignment of cooperative spectrum sensing in multi-channel cognitive radio networks”, IEEE Int’l Conference on Communications (ICC’11), Kyoto, Japan, June 2011.en_US
dc.identifier.citationW. Wang, B. Kasiri, J. Cai, A.S. Alfa, “Distributed cooperative multi-channel spectrum sensing based on dynamic coalitional game”, IEEE Global Communication Conference (GLOBECOM’ 10), Miami, FL, USA, Dec. 2010.en_US
dc.identifier.urihttp://hdl.handle.net/1993/23228
dc.language.isoengen_US
dc.publisherWileyen_US
dc.publisherIEEEen_US
dc.publisherIEEEen_US
dc.publisherIEEEen_US
dc.publisherIEEEen_US
dc.publisherIEEEen_US
dc.rightsopen accessen_US
dc.subjectmulti-channel cognitive radio networksen_US
dc.subjectcooperative spectrum sensingen_US
dc.subjectcoalitional game theoryen_US
dc.subjectkey managementen_US
dc.titleProviding Efficient and Secure Cooperative Spectrum Sensing for Multi-Channel Cognitive Radio Networksen_US
dc.typedoctoral thesisen_US
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