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Springer Artificial Intelligence for Cybersecurity Book

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Description

Explore the intersection of machine learning and information security with this Springer publication. This book examines new applications of deep learning and artificial intelligence to address major challenges in the cybersecurity field. Rather than just applying AI to datasets, the research investigates the deeper questions regarding the how and why of AI within the security domain. Readers gain insight into advanced topics including explainable AI, adversarial learning, and resilient AI. This volume serves as a specialized resource for understanding the complex relationship between deep learning and modern security needs, providing technical depth for those studying the evolution of AI-driven defense mechanisms.

Key Features

This Springer book explores novel applications of machine learning and deep learning for cybersecurity challenges.

The research examines the interface between deep learning and information security beyond simple dataset application.

Chapters cover essential topics such as explainable AI and adversarial learning for security professionals.

Gain technical insight into resilient AI and the fundamental questions of AI within the security domain.

Part of the Advances in Information Security series, volume 54, providing specialized academic research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
16 July 2023
Listed Since
19 June 2023

Barcode

No barcode data available

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