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    Chapter

    AI-Enabled Cybersecurity for IoT and Smart City Applications

    AI-driven cybersecurity is crucial to enhancing the resilience of the Internet of Things (IoT) and smart city ecosystems. Due to the dynamic and heterogeneous nature of IoT devices, these interconnected networ...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Chapter

    AI for Critical Infrastructure Protection and Resilience

    This chapter explores how artificial intelligence (AI) can be used to enhance the protection and resilience of critical infrastructure. Society is becoming increasingly dependent on interconnected systems, whi...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Book

    AI-Driven Cybersecurity and Threat Intelligence

    Cyber Automation, Intelligent Decision-Making and Explainability

    Iqbal H. Sarker (2024)

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    Chapter

    Cybersecurity Background Knowledge: Terminologies, Attack Frameworks, and Security Life Cycle

    This chapter provides a foundational understanding of cybersecurity concepts, including terminologies and attack frameworks like the cyber kill chain and MITRE ATT&CK, as well as the cybersecurity life cycle. ...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Chapter

    Detecting Anomalies and Multi-attacks Through Cyber Learning: An Experimental Analysis

    Detecting cyber-anomalies and attacks are becoming a rising concern these days in the domain of cybersecurity. The knowledge of artificial intelligence (AI), particularly the machine learning techniques, can b...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Chapter

    Cybersecurity Data Science: Toward Advanced Analytics, Knowledge, and Rule Discovery for Explainable AI Modeling

    In a computing context, cybersecurity technology and operations are constantly changing, and data science is driving the change. Building a data-driven model that extracts patterns in cybersecurity incidents i...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Chapter

    AI for Enhancing ICS/OT Cybersecurity

    In today’s industrial environments, advanced technologies have become increasingly integrated, increasing vulnerabilities and risks related to cyber threats. This chapter explores the transformative role of ar...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Chapter

    CyberAI: A Comprehensive Summary of AI Variants, Explainable and Responsible AI for Cybersecurity

    The integration of cybersecurity and artificial intelligence (AI), referred to as “CyberAI,” represents a dynamic and transformative landscape. This chapter outlines the diverse landscape of AI variants, as we...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Chapter

    Introduction to AI-Driven Cybersecurity and Threat Intelligence

    With the convergence of artificial intelligence (AI) and cybersecurity, a new paradigm has emerged in how we defend against evolving digital threats. This book explores the dynamic landscape of AI-driven cyber...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Chapter

    Learning Technologies: Toward Machine Learning and Deep Learning for Cybersecurity

    This chapter explores the transformative landscape of learning technologies, focusing specifically on machine learning and deep learning techniques used in cybersecurity. As digital threats become increasingly...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)

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    Chapter

    Generative AI and Large Language Modeling in Cybersecurity

    Cybersecurity is encountering new challenges demanding innovative solutions due to the complexity and frequency of cyberattacks progressing. Artificial intelligence (AI), particularly generative AI, has emerge...

    Iqbal H. Sarker in AI-Driven Cybersecurity and Threat Intelligence (2024)