"Deep Learning to Detect Cyber Attacks" is a comprehensive and cutting-edge book that explores the application of deep learning techniques in detecting and mitigating cyber attacks. Authored by experts in the field of cybersecurity and machine learning, this book serves as an invaluable resource for cybersecurity professionals, researchers, and students interested in leveraging the power of deep learning to enhance cyber defense systems. In this book, the authors delve into the ever-evolving landscape of cyber threats and the challenges faced by traditional intrusion detection systems. They introduce deep learning, a subset of machine learning that utilizes artificial neural networks with multiple layers, as a powerful approach to detecting and mitigating cyber attacks with improved accuracy and efficiency. Key topics covered in this book Throughout the book, the authors provide practical guidance, algorithmic explanations, and code snippets to facilitate the understanding and implementation of deep learning techniques for cyber attack detection. By harnessing the power of deep learning, "Deep Learning to Detect Cyber Attacks" equips readers with the knowledge and tools necessary to develop advanced and efficient cyber defense systems that can effectively combat the constantly evolving threat landscape.
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Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Seller Inventory # 42817770/1
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