Cybersecurity Unlocked

Cryptography, Network Security, Data Protection

Bhanu Chander, A. Ravi, A. Santhosh, Kumar A. Santhos

• Publisher: De Gruyter
• Year: 2026
• eBook ISBN: 9783111713021
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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.

Table of contents

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