Adaptive Security Protocols for Wireless and Mobile Networks Address Cyber Threats

Recent advancements in adaptive security protocols for Wireless Sensor Networks (WSNs) and Mobile Ad Hoc Networks (MANETs) have been reported. Article 1 discusses a new routing protocol using Deep Q-Networks (DQN) to enhance security against various cyber-attacks, achieving a 20% improvement in routing efficiency and 99.46% accuracy in intrusion detection. Article 2 introduces the Reinforcement Learning-Based Secure Routing Protocol (RLSRP), which addresses wormhole attacks and improves routing stability with over 99% packet delivery ratio. Both protocols emphasize energy efficiency and real-time adaptability in dynamic environments. The research highlights the critical need for robust security measures in resource-constrained networks, particularly in military and healthcare applications. Simulation results validate the effectiveness of these protocols in large-scale environments. The ongoing research aims to mitigate vulnerabilities and enhance secure communication in challenging conditions.

Key Points: • New adaptive protocols enhance security in Wireless Sensor and Mobile Ad Hoc Networks. • The proposed DQN-based routing protocol achieves 99.46% accuracy in intrusion detection. • RLSRP demonstrates over 99% packet delivery ratio while mitigating wormhole attacks.