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Big Data Privacy Preservation for Cyber-Physical Systems

Big Data Privacy Preservation for Cyber-Physical Systems

Paperback

Series: Springerbriefs in Electrical and Computer Engineering

Technology & EngineeringComputer Security

ISBN10: 3030133699
ISBN13: 9783030133696
Publisher: Springer Nature
Published: Apr 4 2019
Pages: 73
Weight: 0.29
Height: 0.17 Width: 6.14 Depth: 9.21
Language: English

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements.

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