Cybersecurity Unlocked
eBook - ePub

Cybersecurity Unlocked

Cryptography, Network Security, Data Protection

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Cybersecurity Unlocked

Cryptography, Network Security, Data Protection

About this book

As cyber threats grow in sophistication and scale, the demand for advanced security knowledge has never been greater. This book delivers an in-depth examination of critical domains in modern cybersecurity, including network security, advanced cryptography, IoT and cloud security, AI and ML in defense strategies, next-generation threat intelligence, and zero-knowledge proofs.

Bridging theory with practice, it serves as both an academic reference and a practical guide. Researchers will find cutting-edge insights for further exploration, students will gain a strong foundation enriched with applied perspectives, and professionals will access strategies to counter real-world security challenges.

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Yes, you can access Cybersecurity Unlocked by Bhanu Chander,A. Ravi,A. Santhosh,Kumar A. Santhos in PDF and/or ePUB format, as well as other popular books in Informatica & Intelligenza artificiale (IA) e semantica. We have over one million books available in our catalogue for you to explore.

Table of contents

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