Analyzing the Integration of Cognitive Radio and Cloud Computing for Secure Networking

Syed Rizvi, Nathan Showan, John Mitchell

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)206-212
Number of pages7
JournalProcedia Computer Science
Volume61
DOIs
StatePublished - 2015
EventComplex Adaptive Systems, 2015 - San Jose, United States
Duration: Nov 2 2015Nov 4 2015

All Science Journal Classification (ASJC) codes

  • General Computer Science

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