Advanced Optimizing Network Security in Manets: A Comprehensive Multilevel-Optimization and Monitoring Mechanism (Multi-Omm)

With the proliferation of the Internet of Things (IoT), mobile ad hoc networks (MANET) have become an essential component of contemporary wireless communications. These networks, which rely on multi-hop data transmission, offer significant flexibility and adaptability. However, their open and dynamic nature makes them vulnerable to various internal and external security threats. Among these, Black hole attacks by malicious nodes present serious challenges. Traditional security measures, such as firewalls and encryption, often fall short in addressing these threats. Therefore, there is an urgent need for advanced intrusion detection systems tailored for these environments. Additionally, node selfishness-where nodes conserve their resources at the expense of others-further disrupts network performance and violates protocols. To address these issues, we propose the Multilevel Optimization and Monitoring Mechanism (Multi-OMM), a novel algorithm designed for real-time detection and prevention of malicious activities. Multi-OMM employs a multi-phase approach to enhance network security through traffic pattern analysis, dynamic topology inspection, and targeted attack detection. By implementing and evaluating Multi-OMM through comprehensive experiments, we aim to demonstrate its effectiveness in identifying and mitigating both selfish and malicious behaviors, thereby improving overall network security and performance.