Big Data Privacy Preservation for Cyber-Physical Systems

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

  • PDF / 2,488,042 Bytes
  • 81 Pages / 439.43 x 666.14 pts Page_size
  • 56 Downloads / 282 Views

DOWNLOAD

REPORT


Miao Pan Jingyi Wang Sai Mounika Errapotu Xinyue Zhang Jiahao Ding Zhu Han

Big Data Privacy Preservation for Cyber-Physical Systems

123

SpringerBriefs in Electrical and Computer Engineering Series editors Woon-Seng Gan, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore C.-C. Jay Kuo, University of Southern California, Los Angeles, CA, USA Thomas Fang Zheng, Research Institute of Information Technology, Tsinghua University, Beijing, China Mauro Barni, Department of Information Engineering and Mathematics, University of Siena, Siena, Italy

SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 125 pages, the series covers a range of content from professional to academic. Typical topics might include: timely report of state-of-the art analytical techniques, a bridge between new research results, as published in journal articles, and a contextual literature review, a snapshot of a hot or emerging topic, an in-depth case study or clinical example and a presentation of core concepts that students must understand in order to make independent contributions

More information about this series at http://www.springer.com/series/10059

Miao Pan • Jingyi Wang Sai Mounika Errapotu • Xinyue Zhang Jiahao Ding • Zhu Han

Big Data Privacy Preservation for Cyber-Physical Systems

123

Miao Pan Department of Electrical and Computer Engineering University of Houston Houston, TX, USA

Jingyi Wang Department of Electrical and Computer Engineering University of Houston Houston, TX, USA

Sai Mounika Errapotu Department of Electrical and Computer Engineering University of Houston Houston, TX, USA

Xinyue Zhang Department of Electrical and Computer Engineering University of Houston Houston, TX, USA

Jiahao Ding Department of Electrical and Computer Engineering University of Houston Houston, TX, USA

Zhu Han Department of Electrical and Computer Engineering University of Houston Houston, TX, USA

ISSN 2191-8112 ISSN 2191-8120 (electronic) SpringerBriefs in Electrical and Computer Engineering ISBN 978-3-030-13369-6 ISBN 978-3-030-13370-2 (eBook) https://doi.org/10.1007/978-3-030-13370-2 Library of Congress Control Number: 2019933298 © The Author(s), under exclusive license to Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant pr