Emerging Threats and Countermeasures in Cybersecurity

Table of Contents

1. Cover
2. Table of Contents
3. Series Page
4. Title Page
5. Copyright Page
6. Preface
7. 1 Emerging Threats and Trends in Digital Forensics and Cybersecurity
   1. 1.1 Introduction
   2. 1.2 Threats Faced by Digital Forensics
   3. 1.3 Cybersecurity Threats in 2023 (Figure 1.2)
   4. 1.4 New Era of Technology and Their Risks
   5. 1.5 Challenges for Digital Forensics
   6. 1.6 Impact of Mobile Gadgets on Cybersecurity
   7. 1.7 The Vulnerabilities in Wireless Mobile Data Exchange
   8. 1.8 Network Segmentation and its Applications
   9. 1.9 Relationship Between Privacy and Security
   10. 1.10 Recent Trends in Digital Forensics
   11. 1.11 Opportunities in this Field
   12. 1.12 Future Enhancements in Digital Forensics
   13. 1.13 Cybersecurity and Cyber Forensics in Smart Cities
   14. 1.14 Network Security and Forensics
   15. 1.15 Software and Social Engineering Attacks on RSA
   16. 1.16 Cyber Threats and Cybersecurity
   17. 1.17 Conclusion
   18. Bibliography
8. 2 Toward Reliable Image Forensics: Deep Learning-Based Forgery Detection
   1. 2.1 Introduction
   2. 2.2 Fundamentals of Image Forensics
   3. 2.3 Deep Learning in Image Forensics
   4. 2.4 Datasets of Image Forgery Detection
   5. 2.5 Feature Extraction and Representation
   6. 2.6 Model Training and Evaluation
   7. 2.7 Challenges and Future Scope
   8. 2.8 Conclusion
   9. References
9. 3 Understanding and Mitigating Advanced Persistent Threats in a Dynamic Cyber Landscape
   1. 3.1 Introduction
   2. 3.2 APT Lifecycle
   3. 3.3 Characteristics and Methods of APTs
   4. 3.4 APT Detection
   5. 3.5 Mitigation Techniques
   6. 3.6 Case Study: CozyDuke APT
   7. Conclusion
   8. References
10. 4 Class-Imbalanced Problems in Malware Analysis ...