International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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An Intelligent Whale Optimization Algorithm Approach for Wormhole Attack Mitigation in MANETs

Author(s) Siva Senthil D, Ashika J S
Country India
Abstract Mobile Ad Hoc Networks (MANETs) are highly vulnerable to security threats due to their dynamic topology and lack of centralized control. Among various attacks, the wormhole attack is one of the most severe threats as it creates a false tunnel between distant nodes, disrupting normal routing behavior. This paper proposes an intelligent Whale Optimization Algorithm (WOA) based framework for effective detection and mitigation of wormhole attacks in MANETs. The proposed method collects network data such as packet delivery ratio, delay, and trust values from participating nodes. A trust evaluation module analyzes node behavior to identify abnormal communication patterns. The Whale Optimization Algorithm is employed to optimize threshold values and improve detection accuracy. Multiple verification mechanisms are integrated to reduce false positives and ensure reliable attack confirmation. Once a malicious node is detected, an attack conformation module isolates it from the routing process. This enhances secure packet transmission between source and destination nodes. Simulation results demonstrate improved packet delivery ratio and reduced packet loss compared to conventional security schemes. The proposed model also minimizes routing overhead and end-to-end delay. The intelligent optimization approach ensures adaptability to dynamic network conditions. Overall, the system provides a robust and efficient solution for wormhole attack mitigation in MANET environments. The results prove that the WOA-based method significantly enhances network performance and security. This approach can be extended to other routing attacks in future research.
Field Engineering
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-29
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.78142
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E-ISSN 2582-2160
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