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    1. Data och IT
    2. Databaser

    Art of Cyber Defense

    From Risk Assessment to Threat Intelligence

    AvYoussef Baddi,Mohammed Amin Almaiah

    Häftad, Engelska, 2026

    Del i serien Advances in Cybersecurity Management

    759 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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 classificationMachine learning solutions and research perspectives on Internet of Services (IoT) securityComprehensive analysis of blockchain techniques for enhancing IoT security and privacyPractical approaches to integrating security analysis modules for proactive threat intelligenceThis 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.

    Produktinformation

    • Utgivningsdatum:2026-06-21
    • Mått:178 x 254 x 17 mm
    • Vikt:570 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Advances in Cybersecurity Management
    • Antal sidor:294
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781032714790

    Utforska kategorier

    • Databaser inom Data och IT
    • Systemvetenskap och AI inom Data och IT

    Mer om författaren

    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.

    Innehållsförteckning

    • Part I: Foundations of Cyber Defense and Risk AssessmentChapter 1: AI-Powered Strategies for Advanced Malware Detection and PreventionChapter 2: Advancing Malware Classification with Hybrid Deep LearningChapter 3: A Comprehensive Overview of AI-Driven Behavioral Analysis for Security in Internet of ThingsChapter 4: A Deep Dive into IoT Security: Machine Learning Solutions and Research PerspectivesChapter 5: Exploring Blockchain Techniques for Enhancing IoT Security and Privacy: A Comprehensive AnalysisPart II: Analyzing and Responding to Emerging ThreatsChapter 6: Integrating Security Analysis Module for Proactive Threat IntelligenceChapter 7: Security Study of Web Applications through a White Box Audit Approach: A Case StudyChapter 8: Case Study Method: A Step-by-Step Black Box Audit for Security Study of Web ApplicationsChapter 9: Security in Cloud-Based IoT: A SurveyChapter 10: Exploring IoT penetration testing: From fundamentals to practical setupChapter 11: A Fuzzy Logic-Based trust system for detecting selfish nodes and encouraging cooperation in Optimized Link State Routing protocolChapter 12: Collaborative Cloud-SDN Architecture for IoT Privacy-Preserving Based on Federated LearningChapter 13: An adaptive cybersecurity strategy based on game theory to manage emerging threats In The SDN InfrastructurePart III: Human-Centric Risk Mitigation ApproachesChapter 14: A Human-Centric Approach to Cyber Risk MitigationChapter 15: Human Factors in Cyber DefenseChapter 16: Security Operation Center: Towards A Maturity Model