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Springer Network Security Empowered by AI - Advances in Information Security Vol. 107

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Description

Explore the intersection of artificial intelligence and network security in this comprehensive volume from Springer's Advances in Information Security series. This book examines how AI technologies are transforming network defence and threat detection, providing readers with insights into intelligent security systems, machine learning applications for cyber threat identification, and practical approaches to protecting digital infrastructure. Written for security professionals, researchers, and IT specialists, this volume combines theoretical foundations with real-world implementations of AI-driven security solutions, helping organisations understand and deploy next-generation security measures that leverage artificial intelligence for improved threat response and network protection.

Key Features

Part of Springer's Advances in Information Security series (Volume 107), a trusted publication for cutting-edge security research and development.

Focuses on artificial intelligence applications in network security, covering machine learning models and intelligent threat detection systems.

Provides comprehensive coverage suitable for security professionals, researchers, and IT specialists seeking to understand AI-powered defence strategies.

Combines theoretical concepts with practical implementations of AI technologies for real-world network protection scenarios.

Published by Springer, a leading academic publisher specialising in computer science and information security topics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 June 2024
Listed Since
02 January 2024

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