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Thesis Overview:

Fog computing has emerged as a promising technology for improving the efficiency and scalability of industrial Internet of Things (IoT) systems. However, designing a secure and scalable architecture for fog computing in industrial IoT systems poses significant challenges. This thesis aims to address these challenges by proposing a novel architecture that ensures both security and scalability in industrial IoT environments.

Chapter 1: Introduction
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 2: Literature Review
2.1 Overview of fog computing in industrial IoT systems
2.2 Security challenges in industrial IoT systems
2.3 Scalability issues in fog computing
2.4 Existing architectures for fog computing in industrial IoT
2.5 Security mechanisms for fog computing
2.6 Scalability solutions for industrial IoT systems
2.7 Integration of fog computing and cloud computing
2.8 Edge computing in industrial IoT
2.9 Machine learning and AI in industrial IoT
2.10 Case studies of fog computing in industrial IoT deployments

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 System architecture design
3.5 Simulation and modeling
3.6 Evaluation criteria
3.7 Implementation strategy
3.8 Ethical considerations

Chapter 4: Discussion of Findings
4.1 Analysis of security requirements in industrial IoT systems
4.2 Evaluation of scalability solutions for fog computing
4.3 Implementation of proposed architecture
4.4 Performance evaluation
4.5 Comparison with existing architectures
4.6 Case studies
4.7 Challenges and limitations
4.8 Future research directions

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contribution to the field
5.3 Practical implications
5.4 Recommendations for future research
5.5 Conclusion

This thesis will contribute to the ongoing research in fog computing and industrial IoT systems by proposing a secure and scalable architecture that addresses the unique challenges of these environments. The research methodology will involve a combination of literature review, system design, simulation, and evaluation to validate the effectiveness of the proposed architecture. The findings of this thesis will provide valuable insights for industry practitioners and researchers working in the field of industrial IoT and fog computing.

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