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Adaptive Security Protocols for Wireless and Mobile Networks Address Cyber Threats

Adaptive Security Protocols for Wireless and Mobile Networks Address Cyber Threats

First seen 27 Jul 2026, 10:33 UTC • •

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ThreatCluster AI
ThreatCluster •July 28, 2026 at 10:03 UTC
  • •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.

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.

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Timeline

2026-07-27
Adaptive deep reinforcement learning protocols published
Two studies introduced new routing protocols for WSNs and MANETs, focusing on security and efficiency improvements.
Nature
2026-07-27
RLSRP protocol demonstrated in simulations
The RLSRP model outperformed existing protocols in packet delivery and energy efficiency in large-scale setups.
www.ncbi.nlm.nih.gov

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