£133.00

Information Science Reference AI Solutions for Detecting Cyber-Attacks in Information Systems

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Description

This comprehensive guide explores artificial intelligence applications for identifying and responding to cyber threats in modern information systems. Written by experts in computer science and security, the book examines machine learning algorithms, pattern recognition techniques, and automated detection systems that organisations use to protect digital infrastructure. Readers learn how AI transforms threat detection from reactive to proactive, analysing network traffic and system behaviour in real time to catch anomalies before they escalate into breaches. The Information Science Reference publication combines theoretical foundations with practical implementations, making it valuable for security professionals, IT managers, and researchers developing or deploying cyber-defence strategies using intelligent automation.

Key Features

Focuses on artificial intelligence and machine learning methods for identifying cyber-attacks within networked environments and systems.

Covers detection techniques and algorithmic approaches published by Information Science Reference, a recognised academic publisher.

Explores real-world applications of AI-driven security solutions for protecting information systems infrastructure.

Combines theoretical security concepts with practical implementation strategies for cyber-threat detection.

Addresses pattern recognition and anomaly detection methods central to modern automated cyber-defence.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 October 2025
Listed Since
04 November 2025

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