Big Data Privacy Preservation for Cyber-Physical Systems

• Κύριοι συγγραφείς: Pan, Miao (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Wang, Jingyi (http://id.loc.gov/vocabulary/relators/aut), Errapotu, Sai Mounika (http://id.loc.gov/vocabulary/relators/aut), Zhang, Xinyue (http://id.loc.gov/vocabulary/relators/aut), Ding, Jiahao (http://id.loc.gov/vocabulary/relators/aut), Han, Zhu (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: Wireless communication systems.; Mobile communication systems.; Data protection.; Electrical engineering.; Wireless and Mobile Communication.; Security.; Communications Engineering, Networks.

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 cryptogr...