Agentic-SecPBFT: An AI agent-driven proactive security framework for wireless PBFT consensus in mobile ad hoc networks

Agentic-SecPBFT uses AI agents to protect PBFT consensus in mobile ad hoc networks, achieving an attack detection rate of 95.0% and a false positive rate of 1.8% in simulation. Each consensus node is equipped with an agent that uses hierarchical MADQN to learn security policies in real time, identifying suspicious behavior based on local network behavior, message consistency and reputation scores. With 33% malicious nodes, its throughput reaches 3.1 times that of mainstream PBFT variants, with latency reduced by 56% on average.