Physical layer security against cooperative anomaly attack using bivariate data in distributed CRNs

Srinu, Sesham and Reddy, M Kranthi Kumar and Temaneh-Nyah, Clement (2019) Physical layer security against cooperative anomaly attack using bivariate data in distributed CRNs. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

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Abstract

Wireless communication network (WCN) performance is primarily depends on physical layer security which is critical among all other layers of OSI network model. It is typically prone to anomaly/malicious user's attacks owing to openness of wireless channels. Cognitive radio networking (CRN) is a recently emerged wireless technology that is having numerous security challenges because of its unlicensed access of wireless channels. In CRNs, the security issues occur mainly during spectrum sensing and is more pronounced during distributed spectrum sensing. In recent past, various anomaly effects are modelled and developed detectors by applying advanced statistical techniques. Nevertheless, many of these detectors have been developed based on sensing data of one variable (energy measurement) and degrades their performance drastically when the data is contaminated with multiple anomaly nodes, that attack the network cooperatively. Hence, one has to develop an efficient multiple anomaly detection algorithm to eliminate all possible cooperative attacks. To achieve this, in this work, the impact of anomaly on detection probability is verified beforehand in developing an efficient algorithm using bivariate data to detect possible attacks with mahalanobis distance measure. Result discloses that detection error of cooperative attacks by anomaly has significant impact on eigenvalue-based sensing.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 17 Jun 2019 10:16
Last Modified: 17 Jun 2019 10:16
URI: http://raiith.iith.ac.in/id/eprint/5487
Publisher URL: http://doi.org/10.1109/COMSNETS.2019.8711071
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