Optimized Detector Generation Procedure for Wireless Sensor Networks based Intrusion Detection System

Optimized Detector Generation Procedure for Wireless Sensor Networks based Intrusion Detection System

© 2022 by IJETT Journal
Volume-70 Issue-6
Year of Publication : 2022
Authors : Giribabu Sadineni, M. Archana, Rama Chaithanya Tanguturi
DOI : 10.14445/22315381/IJETT-V70I6P208

How to Cite?

Giribabu Sadineni, M. Archana, Rama Chaithanya Tanguturi, "Optimized Detector Generation Procedure for Wireless Sensor Networks based Intrusion Detection System," International Journal of Engineering Trends and Technology, vol. 70, no. 6, pp. 63-72, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I6P208

Wireless Sensor Networks (WSNs) performance has been degraded by the intrusion and eliminating the capability to implement its functions. Through several aspects of WSNs, real-time protection is the main crucial component according to the increasing amount of cyber threats. Moreover, the latest devices have reduced security features and are vulnerable to cyber-attacks. It is very crucial to construct the system to detect real-time intrusion detection. In this paper, an optimized detector generation procedure (ODGP) is proposed and classified using the weighted SVM optimizer. The proposed technique is constructed to improve the accuracy of intrusion detection, improved detection rate, reduce false alarm rate, and also minimize the execution time than the existing techniques using the CICIDS2017 dataset. The performance evaluation results proved that the proposed ODGP technique enhances the performance that other related techniques.

Wireless Sensor Networks (WSNs), Intrusion Detection System, Detector generation procedure, CICIDS2017 dataset, Weighted SVM.

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