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Introduction:

The advancement in autonomous vehicles technology has revolutionized the transportation industry. These vehicles are equipped with various sensors and computing systems that enable them to operate without human intervention. However, the success of autonomous vehicles heavily relies on the reliability and security of the underlying architecture. Edge computing has emerged as a promising solution to support the computation and communication requirements of autonomous vehicles in real-time. This thesis focuses on designing a secure and scalable architecture for edge computing in autonomous vehicles to ensure their safe and efficient operation.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter Two: Literature Review
2.1 Introduction
2.2 Evolution of Autonomous Vehicles
2.3 Edge Computing in Autonomous Vehicles
2.4 Security Challenges in Autonomous Vehicles
2.5 Scalability Issues in Edge Computing
2.6 Existing Architectures for Edge Computing in Autonomous Vehicles
2.7 Security Measures in Edge Computing
2.8 Scalability Solutions in Edge Computing
2.9 Integration of Edge Computing and Cloud Computing
2.10 Future Trends in Autonomous Vehicles Technology

Chapter Three: Research Methodology
3.1 Introduction
3.2 Research Design
3.3 Data Collection Methods
3.4 Data Analysis Techniques
3.5 Experimental Setup
3.6 Simulation Tools
3.7 Evaluation Criteria
3.8 Validation Methods

Chapter Four: Discussion of Findings
4.1 Introduction
4.2 Analysis of Security Challenges
4.3 Evaluation of Scalability Solutions
4.4 Comparison of Existing Architectures
4.5 Performance Metrics
4.6 Data Privacy Issues
4.7 Scalability Testing
4.8 Security Mechanisms
4.9 Optimization Techniques
4.10 Recommendations for Future Research

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Recommendations for Industry
5.6 Recommendations for Further Research

Thesis Overview on Designing a Secure and Scalable Architecture for Edge Computing in Autonomous Vehicles:

The increasing adoption of autonomous vehicles has raised concerns about their security and scalability, especially in the context of edge computing. This thesis aims to address these challenges by designing a secure and scalable architecture for edge computing in autonomous vehicles. The research will focus on analyzing the security vulnerabilities and scalability issues in existing architectures, as well as proposing practical solutions to enhance the performance and reliability of autonomous vehicles. The study will involve a comprehensive literature review, rigorous research methodology, and detailed discussion of findings to provide valuable insights for the development of future autonomous vehicles technology. By the end of this thesis, readers will gain a deeper understanding of the critical role of edge computing in ensuring the safety and efficiency of autonomous vehicles, as well as the challenges and opportunities in designing secure and scalable architectures for this emerging technology.

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