£120.04

Springer Combating Security Challenges Big Data - AI Techniques Book

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Description

This advanced academic text from Springer examines the intersection of security and big data through cutting-edge artificial intelligence methodologies. Designed for professionals, researchers, and students in computer science and cybersecurity, the book explores how AI techniques address modern security vulnerabilities inherent in large-scale data environments. Part of the Advanced Sciences and Technologies for Security Applications series, it provides comprehensive coverage of contemporary approaches to protecting data infrastructure. The work combines theoretical foundations with practical applications, making it valuable for those developing security solutions in data-intensive industries. Ideal for graduate-level study, professional development, or building expertise in AI-driven security frameworks.

Key Features

Published by Springer as part of the Advanced Sciences and Technologies for Security Applications series, ensuring peer-reviewed academic quality.

Focuses on artificial intelligence techniques specifically applied to security challenges in big data environments.

Suitable for advanced computer science and AI researchers, cybersecurity professionals, and graduate students seeking current knowledge.

Covers both theoretical concepts and practical methodologies for implementing AI-based security solutions.

Explores modern vulnerabilities and protection strategies relevant to data-intensive organisations and systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 May 2020
Listed Since
17 October 2019

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