The Art of Cyber Defense - Baddi, Youssef; Almaiah, Mohammed Amin; Almomani, Omar;(ed.) - Prospero Internet Bookshop

The Art of Cyber Defense

From Risk Assessment to Threat Intelligence
 
Edition number: 1
Publisher: CRC Press
Date of Publication:
 
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Short description:

The Art of Cyber Defense: From Risk Assessment to Threat Intelligence offers a comprehensive exploration of cybersecurity principles, strategies, and technologies essential for safeguarding digital assets and mitigating evolving cyber threats.

Long description:

The Art of Cyber Defense: From Risk Assessment to Threat Intelligence offers a comprehensive exploration of cybersecurity principles, strategies, and technologies essential for safeguarding digital assets and mitigating evolving cyber threats. This book provides invaluable insights into the intricacies of cyber defense, guiding readers through a journey from understanding risk assessment methodologies to leveraging threat intelligence for proactive defense measures.


Delving into the nuances of modern cyber threats, this book equips readers with the knowledge and tools necessary to navigate the complex landscape of cybersecurity. Through a multidisciplinary approach, it addresses the pressing challenges organizations face in securing their digital infrastructure and sensitive data from cyber?attacks.


This book offers comprehensive coverage of the most essential topics, including:



  • Advanced malware detection and prevention strategies leveraging artificial intelligence (AI)

  • Hybrid deep learning techniques for malware classification

  • Machine learning solutions and research perspectives on Internet of Services (IoT) security

  • Comprehensive analysis of blockchain techniques for enhancing IoT security and privacy

  • Practical approaches to integrating security analysis modules for proactive threat intelligence

This book is an essential reference for students, researchers, cybersecurity professionals, and anyone interested in understanding and addressing contemporary cyber defense and risk assessment challenges. It provides a valuable resource for enhancing cybersecurity awareness, knowledge, and practical skills.

Table of Contents:

Part I: Foundations of Cyber Defense and Risk Assessment


Chapter 1: AI-Powered Strategies for Advanced Malware Detection and Prevention


Chapter 2: Advancing Malware Classification with Hybrid Deep Learning


Chapter 3: A Comprehensive Overview of AI-Driven Behavioral Analysis for Security in Internet of Things


Chapter 4: A Deep Dive into IoT Security: Machine Learning Solutions and Research Perspectives


Chapter 5: Exploring Blockchain Techniques for Enhancing IoT Security and Privacy: A Comprehensive Analysis


Part II: Analyzing and Responding to Emerging Threats


Chapter 6: Integrating Security Analysis Module for Proactive Threat Intelligence


Chapter 7: Security Study of Web Applications through a White Box Audit Approach: A Case Study


Chapter 8: Case Study Method: A Step-by-Step Black Box Audit for Security Study of Web Applications


Chapter 9: Security in Cloud-Based IoT: A Survey


Chapter 10: Exploring IoT penetration testing: From fundamentals to practical setup


Chapter 11: A Fuzzy Logic-Based trust system for detecting selfish nodes and encouraging cooperation in Optimized Link State Routing protocol


Chapter 12: Collaborative Cloud-SDN Architecture for IoT Privacy-Preserving Based on Federated Learning


Chapter 13: An adaptive cybersecurity strategy based on game theory to manage emerging threats In The SDN Infrastructure


Part III: Human-Centric Risk Mitigation Approaches


Chapter 14: A Human-Centric Approach to Cyber Risk Mitigation


Chapter 15: Human Factors in Cyber Defense


Chapter 16: Security Operation Center: Towards A Maturity Model