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Analyzing the Integration of Cognitive Radio and Cloud Computing for Secure Networking
Author(s) -
Syed S. Rizvi,
Nathan Showan,
John Mitchell
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.09.195
Subject(s) - computer science , cloud computing , cognitive radio , emulation , scope (computer science) , computer security , focus (optics) , data science , service (business) , service provider , architecture , telecommunications , wireless , operating system , art , visual arts , physics , economy , optics , economics , programming language , economic growth
The focus of this research paper is twofold: First, we discuss some of the critical issues and challenges currently inhibiting the realization of a cognitive radio network (CRN). Those problems include the utilization of jammers to prevent the spectrum sensing and communication. Primary User Emulation (PUE) still pose a significant mitigation challenge, as well as traffic injected attacks. Second, we discuss the possibility of combining the cognitive radios (CRs) within the cloud operating architecture. We present a comprehensive critical analysis of the existing research efforts to integrate these two diverge fields. We identify critical issues and challenges that need to be addressed to successfully integrate the CRs into cloud computing paradigm. In this paper, we also discuss the future scope and directions that need to be taken to maximize the benefits that the venture of these two fields could bring to the service users and providers

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