Frontmatter

Chapters in this book

1. Frontmatter I
2. Contents V
3. Chapter 1 Emerging Cyber Threats: Challenges, Impacts, and Proactive Defenses in the Digital Age 1
4. Chapter 2 Silent Guardians: Proactive Approaches to Modern Cyber Threats 31
5. Chapter 3 Data Science for Threat Detection and Analysis 59
6. Chapter 4 An Integrated Approach: Merging Cybersecurity, AI, and Threat Detection 87
7. Chapter 5 Cybersecurity Analytics: A Review of Challenges and the Role of Machine Learning and Deep Learning in Threat Detection 103
8. Chapter 6 Hardware-Based Authentication Techniques for Secure Data Transmission in IoT Edge Computing 141
9. Chapter 7 Securing the IoT Networks Using a Deep Learning Paradigm for Intrusion Detection 161
10. Chapter 8 Hybrid Malware Detection and Classification Using Explainable Deep Neural Network 177
11. Chapter 9 Light POW for Smart Grid Communication 201
12. Chapter 10 Zero Trust Architecture – A Beginner’s Guide 227
13. Chapter 11 Post-quantum Cryptography for Enhanced Authentication in Mobile Data Communication: Resilience Against Quantum Attacks 265
14. Chapter 12 Two-Factor Authentication (2FA) and Multi-factor Authentication (MFA) Solutions for Secure Mobile Data Communication 287
15. Chapter 13 Artificial Intelligence and Machine Learning in Cybersecurity 313
16. Chapter 14 Enhancing IoT Security with Zero Trust Networking: Protecting Wireless Sensors, Edge Devices, and Cloud Environments 343
17. Chapter 15 Biometric Authentication Methods for Mobile Devices: Exploring Fingerprint, Face Recognition, and Iris Scanning 365
18. Chapter 16 Robust Dynamic Voice-Based Key Generation Using Novel Fuzzy Extraction, Averaged Thresholding, and Hamming Enhancement Techniques 385
19. Chapter 17 Enhancing Cybersecurity with Artificial Intelligence and Machine Learning Techniques 413
20. Chapter 18 Firewall and IDS in Cybersecurity 439
21. Index