1st Edition

The Art of Cyber Defense From Risk Assessment to Threat Intelligence

    304 Pages 141 B/W Illustrations
    by CRC Press

    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, the 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.

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

    • Advanced malware detection and prevention strategies leveraging AI.
    • Hybrid deep learning techniques for malware classification.
    • Machine learning solutions and research perspectives on 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.

    Part I: Foundations of Cyber Defense and Risk Assessment

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

    Syed Immamul Ansarullah, Abdul Wahid Wali, Irshad Rasheed and Peer Zada Rayees

    Chapter 2: Advancing Malware Classification with Hybrid Deep Learning

    Chougdali Khalid and Rabii El Hakouni

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

    Hicham Yzzogh, Hiba Kandil and Hafssa Benaboud

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

    Ahmad Anwar Zainuddin, Muhammad Ziyad Fathullah Mohd Yazid, Nur Alya Aqilah Razak Ratne, Nur Fatnin Izzati Sidik, Nur Adila Ahmad Faizul, Aliah Maisarah Roslee and Nuramiratul Aisyah Ruzaidi

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

    Ahmad Anwar Zainuddin, Muhammad Aizzul Izzuddin Zulhazizi, Muhammad Firdaus Darmawan, Shahmie Abd Jalil, Muhammad Hafizudin Jamhari and Muhammad Syafiq

    Part II: Analyzing and Responding to Emerging Threats

    Chapter 6: Integrating Security Analysis Module for Proactive Threat Intelligence

    Yassine Maleh and Abdelekbir Sahid

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

    Afef Jmal Maâlej and Mohamed Salem Eleze

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

    Afef Jmal Maâlej and Mohamed Salem Eleze

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

    Abdelhalim Hnini, Anas Anouar, Ayoub Khadrani, Chaima Dhiba and Salmaa Naffah and Imane Chlioui

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

    Yassine Maleh and Youssef Baddi

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

    Fatima Lakrami, Ouidad Labouidya, Najib El Kamoun, Hind Sounni, Hicham Toumi, Youssef Baddi and Zakariaa Jamal

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

    Anas Harchi, Hicham Toumi and Mohamed Talea

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

    Jihad Kilani, Youssef Baddi, Faycal Bensalah and Yousra Fadili

    Part III: Human-Centric Risk Mitigation Approaches

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

    Ediomo Udofia

    Chapter 15: Human Factors in Cyber Defense

    Qasem Abu Al-Haija

    Chapter 16: Security Operation Center: Towards A Maturity Model

    Achraf Samir Chamkar, Yassine Maleh and Noreddine Gherabi

    Biography

    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.