Innovative AI-Based Protocol to Mitigate DDoS Attacks on City Infrastructure
Keywords:
DDoS Attacks, AI-Driven Protocols, Smart City Infrastructure, Cybersecurity, Machine Learning, Deep Learning.Abstract
Distributed Denial of Service (DDoS) attacks pose a significant threat to city infrastructure, disrupting essential services such as critical infrastrcture, healthcare, and utilities. Traditional mitigation techniques often fail to address the scale and sophistication of modern DDoS attacks. This paper proposes an innovative AI-driven protocol designed to detect, analyze, and mitigate DDoS attacks in real-time. Leveraging machine learning (ML) and deep learning (DL) algorithms, the protocol adapts to evolving attack patterns and ensures the resilience of smart city infrastructure. Experimental results demonstrate the protocol's effectiveness in reducing attack impact and maintaining service availability. The paper concludes with recommendations for implementation and future research directions.