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Cluster head based secure routing using optimized dual-discriminator conditional generative adversarial network in wireless ad-hoc networks

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Abstract

Designing a routing protocol that can against the attacks of malicious nodes is very essential because open wireless channels make a wireless ad hoc network (WAN) affected by different security attacks. To overcome this problem, Dual-Discriminator Conditional Generative Adversarial Network Optimized with Namib beetle optimization algorithm is proposed in this manuscript for cluster head based secure routing in Wireless Ad-hoc Networks (CH-SR-DDCGAN-NBOA-WAN). Here, the proposed CH-SR-DDCGAN-NBOA-WAN method consists of two phases: (i) to find the optimal CHs (ii) to find optimal trust path. At first, Dual-discriminator conditional generative adversarial network is utilized for selecting Cluster Head (CH) depending on the multi-objective fitness function. The multi-objective fitness function considers the factors, namely set of nodes, determining short security paths connecting sources and destinations, and links schedule with the routes that fulfills the request of all nodes to decrease the energy consumption of whole network, and also increase the defense against spiteful nodes. Therefore, in this work, proposed Namib beetle optimization algorithm (NBOA) is utilized for optimizing the Dual-discriminator conditional generative adversarial network, which selects the CH accurately. After CH selection, Nomadic People Optimization Algorithm (NPOA) is used to identify the trust path from that are confirmed by using trust parameters, such as integrity, consistency, forwarding rate, availability factor. The proposed CH-SR-DDCGAN-NBOA-WAN approach is activated in network stimulator NS-2 and its performance is examined under performance metrics, such as drop, normalized network energy, network lifetime, delay, throughput, energy consumption, Packet Delivery Ratio. The proposed CH-SR-DDCGAN-NBOA-WAN approach attains 23.31%, 24.5%, and 30.01% lower packet drop, 12.45%, 17.34% and 24.67% higher network life time and 11.45%, 17.34% and 29.56% lower average delay time compared with existing methods, such as FCO-fuzzy constraints applied cluster optimization technique for wireless ad-hoc networks (CH-SR-FCO-WAN), trust-based secure routing and the prevention of attack in WAN (CH-SR-KID-SASR-WAN) and a secure routing scheme to mitigate attack in wireless ad-hoc sensor network CH-SR-BSCSRP-WAN respectively.

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India

    R. Prabha

  2. Department of Information Technology, Agni College of Technology, Chennai, Tamil Nadu, India

    G. A. Senthil

  3. Department of Artificial Intelligence and Data Science, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India

    SU. Suganthi

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  1. R. Prabha
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  2. G. A. Senthil
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  3. SU. Suganthi
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Contributions

R. Prabha - (Corresponding Author) - Conceptualization Methodology, Original draft preparation. G.A. Senthil – Supervision. SU. Suganthi – Supervision.

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Correspondence to R. Prabha.

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Prabha, R., Senthil, G.A. & Suganthi, S. Cluster head based secure routing using optimized dual-discriminator conditional generative adversarial network in wireless ad-hoc networks. Peer-to-Peer Netw. Appl. 16, 2747–2760 (2023). https://doi.org/10.1007/s12083-023-01545-2

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