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Cybersecurity Unlocked
Cryptography, Network Security, Data Protection
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Edited by:
Bhanu Chander
Language:
English
Published/Copyright:
2026
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.
- Explores advanced cryptographic frameworks to secure complex digital ecosystems.
- Provides state-of-the-art threat intelligence methodologies to predict, detect, and neutralize risks.
- Highlights the synergy of AI and ML in building proactive, adaptive, and intelligent security solutions.
Author / Editor information
Bhanu Chander, Ravi A., Santhos Kumar A., Indian Institute of Information Technology, India.
Topics
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Download PDFPublicly Available
Frontmatter
I -
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Contents
V -
Requires Authentication UnlicensedLicensed
Chapter 1 Emerging Cyber Threats: Challenges, Impacts, and Proactive Defenses in the Digital Age
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Chapter 2 Silent Guardians: Proactive Approaches to Modern Cyber Threats
31 -
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Chapter 3 Data Science for Threat Detection and Analysis
59 -
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Chapter 4 An Integrated Approach: Merging Cybersecurity, AI, and Threat Detection
87 -
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Chapter 5 Cybersecurity Analytics: A Review of Challenges and the Role of Machine Learning and Deep Learning in Threat Detection
103 -
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Chapter 6 Hardware-Based Authentication Techniques for Secure Data Transmission in IoT Edge Computing
141 -
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Chapter 7 Securing the IoT Networks Using a Deep Learning Paradigm for Intrusion Detection
161 -
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Chapter 8 Hybrid Malware Detection and Classification Using Explainable Deep Neural Network
177 -
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Chapter 9 Light POW for Smart Grid Communication
201 -
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Chapter 10 Zero Trust Architecture – A Beginner’s Guide
227 -
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Chapter 11 Post-quantum Cryptography for Enhanced Authentication in Mobile Data Communication: Resilience Against Quantum Attacks
265 -
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Chapter 12 Two-Factor Authentication (2FA) and Multi-factor Authentication (MFA) Solutions for Secure Mobile Data Communication
287 -
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Chapter 13 Artificial Intelligence and Machine Learning in Cybersecurity
313 -
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Chapter 14 Enhancing IoT Security with Zero Trust Networking: Protecting Wireless Sensors, Edge Devices, and Cloud Environments
343 -
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Chapter 15 Biometric Authentication Methods for Mobile Devices: Exploring Fingerprint, Face Recognition, and Iris Scanning
365 -
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Chapter 16 Robust Dynamic Voice-Based Key Generation Using Novel Fuzzy Extraction, Averaged Thresholding, and Hamming Enhancement Techniques
385 -
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Chapter 17 Enhancing Cybersecurity with Artificial Intelligence and Machine Learning Techniques
413 -
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Chapter 18 Firewall and IDS in Cybersecurity
439 -
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Index
Publishing information
Pages and Images/Illustrations in book
eBook published on:
February 2, 2026
eBook ISBN:
9783111712895
Hardcover published on:
February 2, 2026
Hardcover ISBN:
9783111712871
Pages and Images/Illustrations in book
Front matter:
7
Main content:
461
Illustrations:
95
Tables:
28
Keywords for this book
Network security; Advanced Cryptography; IoT and Cloud Security; AI and ML in Cybersecurity; Advanced Threat Intelligence; and Zero Knowledge Proofs._x000D_
Audience(s) for this book
Academic Libraries, Researchers, Scholars, Research Students.
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
