£120.93

Springer AI-Enabled Threat Detection Security Analysis Industrial IoT

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£120.93 £114.88 £116.20 £117.52 £118.84 £120.16 £121.48 09 July 2026 30 July 2026 21 August 2026 11 September 2026 03 October 2026

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Price range: £116 - £121

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Description

This comprehensive guide explores artificial intelligence applications in threat detection and security analysis for industrial Internet of Things environments. Designed for professionals, researchers, and engineers working in industrial automation and cybersecurity, the book examines advanced AI techniques for identifying, analysing, and mitigating security threats across interconnected industrial systems. Coverage includes machine learning algorithms, real-time threat monitoring, anomaly detection methods, and practical implementation strategies for protecting critical infrastructure. Whether you are developing security solutions, managing industrial networks, or researching IoT vulnerabilities, this Springer publication provides essential knowledge for implementing robust AI-driven security frameworks that address the unique challenges of industrial IoT deployments in an increasingly connected world.

Key Features

Focuses on AI and machine learning approaches specifically designed for industrial IoT threat detection systems.

Covers security analysis methodologies that leverage artificial intelligence to protect interconnected industrial infrastructure.

Published by Springer, a leading academic publisher recognised for authoritative computer science and technology titles.

Addresses both theoretical foundations and practical implementation of threat detection in industrial environments.

Explores real-time monitoring and anomaly detection techniques essential for securing critical industrial systems.

Provides comprehensive coverage suitable for cybersecurity professionals, IoT engineers, and security researchers.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 August 2022
Listed Since
11 July 2022

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