Title: Mitigation strategy against SSDF attack for healthcare in cognitive radio networks

Authors: Chaitanya Duggineni; K. Manjunatha Chari

Addresses: Department Electronics and Communications, GRIET, Hyderabad, Telangana, India ' Department Electronics and Communications, GITAM University, Hyderabad, Telangana, India

Abstract: Wireless communications have a rapid growth that leads to huge demand on the deployment of new wireless services in both licensed and unlicensed frequency spectrum. The performance of Cooperative Spectrum Sensing (CSS) in cognitive radio is based on two factors: cooperative gain and cooperative overhead. There are many other dominating factors that affect the performance of CSS like the presence of attacks, energy efficiency, sensing time and delay, spectrum efficiency, etc. The major threat to CSS is Spectrum Sensing Data Falsification (SSDF) attack. Existing methods to mitigate the SSDF attack doesn't focus on energy efficiency which is performed here. To deal with these challenges, we propose an energy efficient mechanism against SSDF attack for healthcare application in Cognitive Radio Networks (CRNs). We propose a Malicious Node Identification Algorithm (MIA) to mitigate the problem of SSDF attack in the network and to eliminate the redundant data at the fusion centre, Balanced Cluster-based Redundancy Check Aggregation (BCRCA) mechanism is proposed. Finally, the decision taken by the fusion centre is based on Weighted Selection Combining (WSC) technique that improves spectrum decision accuracy.

Keywords: cooperative spectrum sensing; data aggregation; SSDF attacks; weighted selection combining.

DOI: 10.1504/IJBET.2018.093084

International Journal of Biomedical Engineering and Technology, 2018 Vol.27 No.1/2, pp.33 - 49

Received: 22 Mar 2017
Accepted: 17 May 2017
Published online: 09 Jul 2018 *

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