Enhancing Cyber-Physical System Security through Edge Computing and AI
Table Of Contents
Table of Contents:
1. Introduction
1.1 Background
1.2 Significance of Cyber-Physical System (CPS) Security
1.3 Role of Edge Computing and AI in CPS Security
1.4 Research Objectives
1.5 Scope of the Study
1.6 Organization of the Thesis
2. Literature Review
2.1 Overview of Cyber-Physical Systems and Security Challenges
2.2 Edge Computing in CPS Security
2.3 Artificial Intelligence Applications for CPS Security
2.4 Current Approaches to CPS Security Enhancement
2.5 Integration of Edge Computing and AI for CPS Security
2.6 Related Research on Edge Computing and AI in CPS Security
3. Methodology
3.1 Analysis of Security Requirements in Cyber-Physical Systems
3.2 Implementation of Edge Computing for CPS Security
3.3 Integration of AI for Threat Detection and Response in CPS
3.4 Simulation and Experimentation Setup
3.5 Performance Metrics for Edge Computing and AI-based CPS Security
3.6 Ethical Considerations in CPS Security Research
3.7 Data Collection and Preprocessing for AI Model Training
4. Implementation and Results
4.1 Deployment of Edge Computing for CPS Security
4.2 Integration of AI for Threat Detection and Response
4.3 Evaluation of Security Performance in Simulated and Real-world Scenarios
4.4 Comparative Analysis of Edge Computing and AI-based Security Protocols
4.5 Visualization of Security Enhancements in Cyber-Physical Systems
5. Conclusion and Future Directions
5.1 Summary of Research Findings
5.2 Implications for CPS Security Enhancement
5.3 Limitations and Challenges
5.4 Future Research Directions in Edge Computing and AI for CPS Security
5.5 Ethical Implications and Regulatory Compliance
5.6 Conclusion and Final Remarks
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.
Thesis Overview
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