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Introduction

With the advancement of technology, smart city applications have become increasingly popular in urban areas. These applications collect and analyze data from various sources to improve the quality of life for residents. However, the collection and sharing of personal data raise concerns about privacy and security. In this thesis, we propose a privacy-preserving data publishing framework for smart city applications to address these concerns.

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 Overview of Smart City Applications
2.2 Privacy and Security Concerns in Smart City Applications
2.3 Existing Privacy-Preserving Data Publishing Techniques
2.4 Data Anonymization and De-identification Methods
2.5 Differential Privacy Techniques
2.6 Secure Multi-Party Computation
2.7 Homomorphic Encryption
2.8 Blockchain Technology for Data Privacy
2.9 Case Studies on Privacy-Preserving Data Publishing in Smart Cities
2.10 Critical Analysis of Existing Techniques

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Privacy-Preserving Data Publishing Framework Design
3.5 Implementation of Proposed Framework
3.6 Evaluation Metrics
3.7 Ethical Considerations
3.8 Limitations of Research Methodology

Chapter Four: Discussion of Findings
4.1 Evaluation of Proposed Framework
4.2 Comparison with Existing Techniques
4.3 Practical Implications of Privacy-Preserving Data Publishing
4.4 Challenges and Future Research Directions

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Recommendations for Future Work
5.3 Conclusion

Thesis Overview: Designing a Privacy-Preserving Data Publishing Framework for Smart City Applications

The rapid growth of smart city applications has raised concerns about privacy and security risks associated with the collection and sharing of personal data. This thesis aims to address these concerns by proposing a privacy-preserving data publishing framework for smart city applications.

Chapter one provides an introduction to the research topic, highlighting the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter two conducts a comprehensive literature review on smart city applications, privacy and security concerns, existing privacy-preserving techniques, and case studies on data privacy in smart cities.

Chapter three outlines the research methodology, including the research design, data collection methods, data analysis techniques, framework design, implementation, evaluation metrics, ethical considerations, and limitations. Chapter four discusses the findings of the research, evaluating the proposed framework, comparing it with existing techniques, and discussing practical implications and future research directions.

Finally, chapter five provides a conclusion and summary of the thesis, along with recommendations for future work. This thesis aims to contribute to the field of privacy-preserving data publishing in smart city applications and provide valuable insights for researchers, policymakers, and developers in the smart city domain.

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