Authors:
G. Kalaiselvi,M. G. Kavitha,DOI NO:
https://doi.org/10.26782/jmcms.2026.08.00011Keywords:
Mobile Ad Hoc Networks,Ant Colony Optimization,Support Vector Machine,Intrusion Detection System,Blackhole Attack,Secure Routing.,Abstract
Mobile Ad hoc Networks (MANETs) are decentralized, infrastructure-less networks characterized by dynamic topology, making them highly vulnerable to security threats such as blackhole attacks and prone to performance degradation under increasing network scale. Most established routing protocols cannot simultaneously address adaptive routing efficiency and intrusion detection with low computational overhead. An enhanced routing framework, Adaptive Hybrid Antnet with Optimized Support Vector Machine (AH-MantnetOpSVM), presented in this paper, offers adaptive, scalable, and secure communication in MANETs. This approach combines adaptive parameter tuning into the Antnet routing mechanism for the dynamic regulation of pheromone updates based on the residual energy of the node and real-time congestion levels while incorporating an optimized SVM-based intrusion detection for identifying and isolating malicious nodes involved in blackhole attacks, with reduced computational overhead. There is a consistent and substantial improvement in packet delivery ratio, throughput, and network lifetime while reducing delay and false positive rate. Unlike conventional approaches that suffer performance degradation as node density increases, AH-MantnetOpSVM consistently maintains stable and reliable performance across varying network scales, thereby effectively enhancing both security and scalability in the MANET environment.Refference:
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