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The Art of Cyber Defense: From Risk Assessment to Threat Intelligence
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.

1145203459
The Art of Cyber Defense: From Risk Assessment to Threat Intelligence
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.

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The Art of Cyber Defense: From Risk Assessment to Threat Intelligence

The Art of Cyber Defense: From Risk Assessment to Threat Intelligence

The Art of Cyber Defense: From Risk Assessment to Threat Intelligence
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The Art of Cyber Defense: From Risk Assessment to Threat Intelligence

The Art of Cyber Defense: From Risk Assessment to Threat Intelligence

Overview

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.

Product Details

ISBN-13: 9781032714783
Publisher: CRC Press
Publication date: 10/21/2024
Series: Advances in Cybersecurity Management
Pages: 310
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

Prof. Youssef Baddi is full-time Associate Professor at Chouaïb Doukkali University UCD EL Jadida, Morocco. Phd Thesis degree in computer science from ENSIAS School, University Mohammed V Souissi of Rabat, Morocco, since 2016. He also holds a Research Master's degree in networking obtained in 2010 from the High National School for Computer Science and Systems Analysis - ENSIAS-Morocco-Rabat. 

Prof. Mohammed Amin Almaiah obtained his PhD in Computer Science from University Malaysia Terengganu from Malaysia. MSc in Computer Information System from Middle East University (MEU) in 2011 from Jordan. He is now working as Associate Professor in the Department of Computer networks and Communications at King Faisal Saudi Arabia. 

Prof. Omar Almomani received his bachelor's and master's degrees in telecommunication technology from the Institute of Information Technology at the University of Sindh in 2002 and 2003, respectively. In 2010, he received his Ph.D. in computer networking from the UUM. Currently, he is a professor at the Information Technology Faculty of the World Islamic Sciences and Education University. 

Prof. Yassine Maleh is an Associate professor of cybersecurity and IT governance at Sultan Moulay Slimane University, Morocco, since 2019.  He is the founding chair of IEEE Consultant Network Morocco and founding president of the African Research Center of Information Technology & Cybersecurity. He is a former CISO at the National Port Agency between 2012-2019. He is a senior member of IEEE and a member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs.

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

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