£115.51

Springer AI-Enabled Threat Detection and Security Analysis

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Description

Protect industrial infrastructure with AI-Enabled Threat Detection and Security Analysis for Industrial IoT from Springer. This specialized resource addresses the growing complexities of securing connected industrial environments through advanced machine learning and artificial intelligence techniques. As industrial systems become more interconnected, the need for sophisticated security protocols grows. This publication provides a deep look into how AI can be applied to detect threats and analyze security risks within Industrial IoT frameworks. It serves as a vital resource for professionals working at the intersection of computer science, machine learning, and industrial automation. By exploring modern detection methods, this book helps readers understand the technical landscape of securing critical IoT assets. Whether you are studying computer science or managing industrial networks, this Springer title offers the technical foundation needed to navigate the evolving challenges of digital security in the industrial sector.

Key Features

Covers AI-enabled detection methods specifically designed for industrial IoT environments.

Provides technical analysis of security threats within connected industrial networks.

Explores the application of machine learning for automated security monitoring.

Published by Springer, a leading name in professional and academic technical literature.

Focuses on the intersection of computer science and industrial internet of things technology.

Product Specifications

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

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No barcode data available

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