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Table of Content:
Chapter One: Introduction
1.1 Background of the Study
1.2 Research Problem
1.3 Research Questions
1.4 Significance of the Study
1.5 Definition of Key Terms
1.6 Overview of the Thesis
Chapter Two: Literature Review
2.1 Introduction to Cyber Threat Hunting
2.2 Evolution of Artificial Intelligence in Cybersecurity
2.3 Role of Artificial Intelligence in Cyber Threat Hunting
2.4 Current Trends and Challenges in Cyber Threat Hunting
2.5 Existing AI Solutions in Cyber Threat Hunting
Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Ethical Considerations
3.5 Limitations of the Study
Chapter Four: Discussion of Findings
4.1 Analysis of Research Data
4.2 Comparison of AI Solutions in Cyber Threat Hunting
4.3 Implications of Findings
4.4 Recommendations for Future Research
Chapter Five: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Conclusion
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Recommendations for Practitioners
Brief Overview:
The thesis on “Artificial Intelligence in Cyber Threat Hunting” aims to explore the role of artificial intelligence in enhancing cybersecurity measures, specifically in the area of threat hunting. The study will investigate how AI technologies can be used to detect, analyze, and respond to cyber threats more effectively.
The literature review will provide an overview of cyber threat hunting and the evolution of AI in cybersecurity. It will also examine current trends and challenges in the field, as well as existing AI solutions being used for threat hunting. The research methodology will outline the design of the study, data collection methods, and analysis techniques to be employed.
The discussion of findings will analyze the research data and compare different AI solutions in cyber threat hunting. The implications of the findings will be discussed, along with recommendations for future research in this area. The conclusion will summarize the key findings, outline practical implications for practitioners, and make recommendations for further study in the field.
Overall, the thesis aims to contribute to the body of knowledge on the use of artificial intelligence in cyber threat hunting and provide insights for improving cybersecurity measures in the digital age.
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