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Springer Artificial Intelligence in Cyber Security - Theories & Applications

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Description

This comprehensive volume explores the intersection of artificial intelligence and cybersecurity, presenting cutting-edge theories and real-world applications for modern security challenges. Part of Springer's Intelligent Systems Reference Library (Volume 240), the book examines how deep learning, machine learning, and blockchain technologies address complex cybersecurity problems. It offers researchers, scientists, and security professionals innovative approaches grounded in both theoretical foundations and practical implementation strategies. The text demonstrates how AI-driven solutions are transforming threat detection, vulnerability assessment, and incident response across diverse industries and environments.

Key Features

Springer publishes this volume as part of the established Intelligent Systems Reference Library series, ensuring academic rigour and peer-reviewed content.

The book covers deep learning and machine learning applications specifically designed to solve contemporary cybersecurity challenges and threats.

Blockchain technology integration is explored as a complementary AI approach for enhancing security and trust in digital systems.

Real-time environment implementations are detailed throughout, bridging the gap between theoretical concepts and operational security practices.

The text addresses both foundational AI theory and practical applications relevant to researchers and security professionals across multiple domains.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 October 2024
Listed Since
08 October 2024

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