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Titlebook: AI-Driven Cybersecurity and Threat Intelligence; Cyber Automation, In Iqbal H. Sarker Book 2024 The Editor(s) (if applicable) and The Autho

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發(fā)表于 2025-3-21 17:45:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱AI-Driven Cybersecurity and Threat Intelligence
期刊簡稱Cyber Automation, In
影響因子2023Iqbal H. Sarker
視頻videohttp://file.papertrans.cn/143/142849/142849.mp4
發(fā)行地址Presents comprehensive knowledge on AI-driven next generation cybersecurity modeling and applications.Explores emerging technologies with AI variants such as classical AI, explainable AI, responsible
圖書封面Titlebook: AI-Driven Cybersecurity and Threat Intelligence; Cyber Automation, In Iqbal H. Sarker Book 2024 The Editor(s) (if applicable) and The Autho
影響因子This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how one conceptualize, detect and mitigate cyber threats. An in-depth exploration of AI-driven solutions is presented, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and Explainable AI (XAI) models. As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications and research issues. Throughout this journey, the authors discover innovation, challenges, and opportunities. It provides a holistic perspective on the transformative role of AI in securing the digital world..Overall, the useof AI can transform the way one detects, responds and defends against threats, by enabling proactive threat detection, rapid response and adaptive defense mechanisms. AI-driven cybersecurity systems excel at analyzing vast datasets
Pindex Book 2024
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Case Study: Analysis of Unbalanced Data, monitoring, and adaptive security measures. The purpose of this chapter is to provide readers with the knowledge and understanding necessary to navigate the complex landscape of cybersecurity with a strategic and informed perspective, providing a solid foundation for further exploration.
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Problem Areas in Least Squares,ty applications. Overall, AI-driven cybersecurity protects IoT and smart city infrastructures against sophisticated cyber threats by continuously learning and evolving, thereby fostering a secure and resilient urban digital landscape.
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Introduction to AI-Driven Cybersecurity and Threat IntelligenceGood country brand management is fundamentally about ensuring that there is no gap between the two. The FutureBrand Country Brand Index is designed to measure perceptions of country brand strength across multiple dimensions. As such, its aim is to reflect back to country brand managers how close per
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Cybersecurity Background Knowledge: Terminologies, Attack Frameworks, and Security Life Cyclesical goods and services, in the context of deindustrialization. Branding is conceived as a form of communication, in which brand identities mediate between the activities of brand owners and consumer perceptions. Considered as a form of place management, place branding is thus positioned as the att
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