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Introduction:

The increasing popularity of smart home devices has led to a growing concern about the security and privacy of these systems. Edge AI, a subset of artificial intelligence that operates on local devices rather than relying on cloud computing, has emerged as a promising solution for enhancing the security of smart home systems. This thesis aims to explore the use of Edge AI in smart home security systems, investigating its potential benefits, limitations, and implications.

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 home security systems
2.2 Introduction to Edge AI
2.3 Applications of Edge AI in security systems
2.4 Benefits of using Edge AI in smart home security
2.5 Challenges and limitations of Edge AI
2.6 Comparison with cloud-based AI solutions
2.7 Previous studies on Edge AI for security systems
2.8 Current trends and developments in Edge AI for smart homes
2.9 Ethical and privacy considerations
2.10 Future research directions

Chapter Three: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis procedures
3.5 Instrumentation
3.6 Ethical considerations
3.7 Validity and reliability
3.8 Limitations of the research
3.9 Pilot study
3.10 Statistical analysis

Chapter Four: Discussion of Findings
4.1 Analysis of data
4.2 Comparison with literature
4.3 Interpretation of results
4.4 Implications for practice
4.5 Recommendations for future research
4.6 Limitations of the study
4.7 Theoretical implications
4.8 Practical implications
4.9 Conclusion
4.10 Contributions to the field

Chapter Five: Conclusion and Summary
5.1 Summary of key findings
5.2 Contributions to knowledge
5.3 Implications for practice
5.4 Recommendations for further research
5.5 Conclusion

Thesis Overview:

Edge AI has emerged as a promising technology for enhancing the security of smart home systems. This thesis explores the use of Edge AI in smart home security, investigating its benefits, limitations, and implications. The literature review provides an overview of smart home security systems, introduces Edge AI, discusses its applications, benefits, challenges, and comparisons with cloud-based AI solutions, reviews previous studies on Edge AI for security systems, and explores current trends and future research directions. The research methodology chapter details the research design, data collection methods, sampling techniques, data analysis procedures, instrumentation, ethical considerations, and limitations of the research. The discussion of findings chapter analyzes the data, compares it with the literature, interprets the results, and provides implications for practice and recommendations for future research. The conclusion and summary chapter summarizes the key findings, contributions to knowledge, implications for practice, recommendations for further research, and concludes the thesis.

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