LEADER 04830nam 22006255 450 001 9910337632303321 005 20200630152007.0 010 $a3-030-13370-2 024 7 $a10.1007/978-3-030-13370-2 035 $a(CKB)4100000007817058 035 $a(MiAaPQ)EBC5741619 035 $a(DE-He213)978-3-030-13370-2 035 $a(PPN)235232777 035 $a(EXLCZ)994100000007817058 100 $a20190325d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data Privacy Preservation for Cyber-Physical Systems /$fby Miao Pan, Jingyi Wang, Sai Mounika Errapotu, Xinyue Zhang, Jiahao Ding, Zhu Han 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (81 pages) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 311 $a3-030-13369-9 327 $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. 330 $aThis SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements. Cyber-physical systems (CPS) are the ?next generation of engineered systems,? that integrate computation and networking capabilities to monitor and control entities in the physical world. Multiple domains of CPS typically collect huge amounts of data and rely on it for decision making, where the data may include individual or sensitive information, for e.g., smart metering, intelligent transportation, healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or big data analysis in these large scale systems. Data breaches result in undesirable loss of privacy for the participants and for the entire system, therefore identifying the vulnerabilities and developing tools to mitigate such concerns is crucial to build high confidence CPS. This Springerbrief targets professors, professionals and research scientists working in Wireless Communications, Networking, Cyber-Physical Systems and Data Science. Undergraduate and graduate-level students interested in Privacy Preservation of state-of-the-art Wireless Networks and Cyber-Physical Systems will use this Springerbrief as a study guide. . 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aWireless communication systems 606 $aMobile communication systems 606 $aData protection 606 $aElectrical engineering 606 $aWireless and Mobile Communication$3https://scigraph.springernature.com/ontologies/product-market-codes/T24100 606 $aSecurity$3https://scigraph.springernature.com/ontologies/product-market-codes/I28000 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aData protection. 615 0$aElectrical engineering. 615 14$aWireless and Mobile Communication. 615 24$aSecurity. 615 24$aCommunications Engineering, Networks. 676 $a005.8 676 $a005.7 700 $aPan$b Miao$4aut$4http://id.loc.gov/vocabulary/relators/aut$0897253 702 $aWang$b Jingyi$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aErrapotu$b Sai Mounika$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhang$b Xinyue$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aDing$b Jiahao$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHan$b Zhu$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910337632303321 996 $aBig Data Privacy Preservation for Cyber-Physical Systems$92004571 997 $aUNINA