Enhancing Cyber-Physical System Security through Edge Computing and AI

Thesis Abstract

Abstract

Cyber-Physical Systems (CPS) play a critical role in various domains, including industrial automation, smart infrastructure, and healthcare. However, ensuring the security of these systems against evolving threats is a significant challenge. This research focuses on enhancing CPS security through the integration of edge computing and artificial intelligence (AI). The study begins with a comprehensive review of CPS security challenges and the potential of edge computing and AI in addressing these challenges. The methodology involves the analysis of security requirements, implementation of edge computing for CPS security, integration of AI for threat detection and response, and ethical considerations in CPS security research. The implementation phase includes the deployment of edge computing and AI-based security protocols, performance evaluation, and visualization of security enhancements. The research concludes with a summary of findings, implications for CPS security enhancement, future research directions, and ethical considerations, emphasizing the potential of edge computing and AI in fortifying the security of Cyber-Physical Systems.