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Springer Predictive Data Security using AI - Studies 1065

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Description

Explore the intersection of modern technology and security with Predictive Data Security using AI. Published by Springer as part of the Studies in Computational Intelligence series (volume 1065), this book provides a deep look into the evolving landscape of digital protection. This text examines the critical roles of AI, Blockchain, IoT, and DevOps in managing data security. It addresses the specific insights and issues that arise when these technologies combine, offering a specialized perspective for those studying computational intelligence and computer science. Whether you are researching machine learning applications or looking for technical perspectives on decentralized systems and internet-of-things security, this volume serves as a dedicated resource for understanding how predictive models can help manage modern digital risks.

Key Features

Part of the Studies in Computational Intelligence series, volume 1065, providing a specialized academic foundation.

Covers the integration of AI with Blockchain and IoT technologies to address modern data security needs.

Provides technical insights into the role of DevOps within the context of predictive security frameworks.

Published by Springer, a trusted name in professional and academic scientific literature.

Designed for readers interested in the intersection of AI, machine learning, and advanced computing subjects.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 December 2023
Listed Since
06 November 2023

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