Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart Contracts
Emily Struble, Maikel León, Erotokritos Skordilis · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2024
(Distributed) Denial-of-Service (DoS/DDoS) attacks are among the most dangerous cybersecurity threats to computer networks. Lately, blockchain and artificial intelligence (AI) cyberdefense applications have successfully been implemented to identify attack patterns. This paper proposes a novel collaborative, blockchain-based multi-agent reinforcement learning (RL) cyberdefense method using smart contracts. Initial numerical experiments have shown that the agents quickly learn to predict attacks, which can lead to mitigating network-wide service disruptions.