000 04800nam a22006015i 4500
001 978-3-030-13370-2
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005 20220801213902.0
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008 190325s2019 sz | s |||| 0|eng d
020 _a9783030133702
_9978-3-030-13370-2
024 7 _a10.1007/978-3-030-13370-2
_2doi
050 4 _aTK5103.2-.4885
072 7 _aTJKW
_2bicssc
072 7 _aTEC061000
_2bisacsh
072 7 _aTJKW
_2thema
082 0 4 _a621.384
_223
100 1 _aPan, Miao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934979
245 1 0 _aBig Data Privacy Preservation for Cyber-Physical Systems
_h[electronic resource] /
_cby Miao Pan, Jingyi Wang, Sai Mounika Errapotu, Xinyue Zhang, Jiahao Ding, Zhu Han.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aIX, 73 p. 25 illus., 23 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
505 0 _aChapter 1 Cyber-Physical Systems -- Chapter 2 Preliminaries -- Chapter 3 Spectrum Trading with Secondary Users' Privacy Protection -- Chapter 4 Optimization for Utility Providers with Privacy Preservation of Users' Energy Profile -- Chapter 5 Caching with Users' Differential Privacy Preservation in Information-Centric Networks -- Chapter 6 Clock Auction Inspired Privacy Preservation in Colocation Data Centers.
520 _aThis 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. Cyber-physical systems (CPS) are the “next generation of engineered systems,” that integrate computation and networking capabilities to monitor and control entities in the physical world. Multiple domains of CPS typically collect huge amounts of data and rely on it for decision making, where the data may include individual or sensitive information, for e.g., smart metering, intelligent transportation, healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or big data analysis in these large scale systems. Data breaches result in undesirable loss of privacy for the participants and for the entire system, therefore identifying the vulnerabilities and developing tools to mitigate such concerns is crucial to build high confidence CPS. This Springerbrief targets professors, professionals and research scientists working in Wireless Communications, Networking, Cyber-Physical Systems and Data Science. Undergraduate and graduate-level students interested in Privacy Preservation of state-of-the-art Wireless Networks and Cyber-Physical Systems will use this Springerbrief as a study guide. .
650 0 _aWireless communication systems.
_93474
650 0 _aMobile communication systems.
_94051
650 0 _aData protection.
_97245
650 0 _aTelecommunication.
_910437
650 1 4 _aWireless and Mobile Communication.
_934980
650 2 4 _aData and Information Security.
_931990
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aWang, Jingyi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934981
700 1 _aErrapotu, Sai Mounika.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934982
700 1 _aZhang, Xinyue.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934983
700 1 _aDing, Jiahao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934984
700 1 _aHan, Zhu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934985
710 2 _aSpringerLink (Online service)
_934986
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030133696
776 0 8 _iPrinted edition:
_z9783030133719
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
_934987
856 4 0 _uhttps://doi.org/10.1007/978-3-030-13370-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75712
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