| 期刊全称 | AI-Driven Cybersecurity and Threat Intelligence | | 期刊简称 | Cyber Automation, In | | 影响因子2023 | Iqbal H. Sarker | | 视频video | | | 发行地址 | 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 | | 图书封面 |  | | 影响因子 | 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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发表于 2025-3-21 17:45:29
