Handbook of Big Data Privacy

£159.50

Handbook of Big Data Privacy

Computer hardware Network hardware Computer security Network security Artificial intelligence

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Language: English

Published by: Springer

Published on: 18th March 2020

Format: LCP-protected ePub

Size: 46 Mb

ISBN: 9783030385576


Overview of Big Data Privacy

This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize artificial intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed in this handbook.

Privacy and Security in Big Data Systems

The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses methods for evaluating security and privacy of big data systems on network, application, and physical layers. This handbook elaborates on existing methods to use data analytics and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent, and analyze cyber-attacks and assess the impact of malicious payloads on those environments.

Intended Audience

This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysis will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

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