£154.66

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£155 today · previous high £155 · all-time low £143

Springer Data Science in Cybersecurity and Cyberthreat Intelligence - Springer

Amazon

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£154.66 £141.97 £144.74 £147.51 £150.27 £153.04 £155.81 28 July 2026 15 August 2026 03 September 2026 21 September 2026 10 October 2026
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Description

This Springer reference explores cutting-edge machine learning and semantic reasoning techniques for detecting network attacks across IoT infrastructures and enterprise systems. The book covers automated malicious code detection, cyberattack prediction, identification of malicious URLs and DGA-generated domain names, and security improvements for mHealth wearables. It demonstrates how machine learning classifiers can analyse vulnerability exploitation likelihood as an alternative to traditional penetration testing, providing practical approaches to cybersecurity challenges. Part of the Intelligent Systems Reference Library series (volume 177), this comprehensive guide combines formal knowledge bases, rule sets, and advanced analytics to strengthen defence against evolving cyber threats in modern networked environments.

Key Features

Covers machine learning and semantic reasoning techniques for detecting attacks on communication networks and IoT infrastructures.

Details automated malicious code detection methods and practical approaches to cyberthreat intelligence analysis.

Explains how machine learning classifiers can predict cyberattacks in enterprises and analyse vulnerability exploitation likelihood.

Includes strategies for identifying malicious URLs, DGA-generated domain names, and securing mHealth wearables.

Part of the Intelligent Systems Reference Library series (volume 177) published by Springer for advanced cybersecurity professionals.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 February 2020
Listed Since
04 December 2019

Barcode

No barcode data available

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