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Taylor CMVO: Taylor Competitive Multi-Verse Optimizer for intrusion detection and cellular automata-based secure routing in WSN

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Abstract

The security issue is the most significant aspect of Wireless Sensor Network (WSN). As security issues in WSN are increasingly being diversified and premeditated, prevention-based approaches not only afford WSN with sufficient security. However, detection-based methods are necessary for effective collaboration with prevention-based techniques for securing WSN. The development of anomaly detection approaches in WSN is a significant research area, which enables WSN to be much more secure and reliable. Hence, anomaly behavior identification in WSN is a significant challenge for several tasks, like intrusion detection, monitoring applications, and fault diagnosis. In this paper, Taylor Competitive Multi-Verse Optimizer (Taylor CMVO)-based Deep Q network model is devised for effective anomalous behavior detection in WSN. In WSN, the Cluster Head (CH) selection process is significant for the routing process, and it is performed by Particle Swarm Optimization (PSO)-based cellular automata. Moreover, routing is done to transmit data to the sink node using the Particle-Water Wave Optimization (P-WWO) algorithm. The significant features are selected for effective intrusion detection by Canberra distance. The intrusion detection process is done by Deep Q network, and it is trained by developed Taylor CMVO algorithm. The Taylor CMVO approach is designed by combining CMVO with Taylor series. The developed intrusion detection approach outperforms other techniques based on accuracy, sensitivity, and specificity of 96.44%, 98%, and 97.31%, respectively.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, KIT’s College of Engineering, Kolhapur, Maharashtra, 416234, India

    Pradeep Sadashiv Khot

  2. Department of Electronics and Communication Engineering, KLE’s Dr. M.S. Sheshgiri College of Engineering and Technology, Belagavi, Karnataka, 590008, India

    Udaykumar Naik

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  1. Pradeep Sadashiv Khot
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  2. Udaykumar Naik
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Correspondence to Pradeep Sadashiv Khot.

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Khot, P.S., Naik, U. Taylor CMVO: Taylor Competitive Multi-Verse Optimizer for intrusion detection and cellular automata-based secure routing in WSN. Int J Intell Robot Appl 6, 306–322 (2022). https://doi.org/10.1007/s41315-022-00225-3

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