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010   $a981-16-3750-4
024 7 $a10.1007/978-981-16-3750-6
035   $a(CKB)4100000011990102
035   $a(MiAaPQ)EBC6683159
035   $a(Au-PeEL)EBL6683159
035   $a(DE-He213)978-981-16-3750-6
035   $a(PPN)260305464
035   $a(EXLCZ)994100000011990102
100   $a20210723d2021      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPersonalized Privacy Protection in Big Data /$fby Youyang Qu, Mohammad Reza Nosouhi, Lei Cui, Shui Yu
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (148 pages)
225 1 $aData Analytics,$x2520-1867
311   $a981-16-3749-0 
327   $aChapter 1: Introduction -- Chapter 2: Current Methods of Privacy Protection -- Chapter 3: Privacy Attacks -- Chapter 4: Personalize Privacy Defense -- Chapter 5: Future Directions -- Chapter6: Summary and Outlook.
330   $aThis book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic. In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets. The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.
410  0$aData Analytics,$x2520-1867
606   $aData protection?Law and legislation
606   $aQuantitative research
606   $aData mining
606   $aArtificial intelligence?Data processing
606   $aCoding theory
606   $aInformation theory
606   $aComputer security
606   $aPrivacy
606   $aData Analysis and Big Data
606   $aData Mining and Knowledge Discovery
606   $aData Science
606   $aCoding and Information Theory
606   $aPrinciples and Models of Security
615  0$aData protection?Law and legislation.
615  0$aQuantitative research.
615  0$aData mining.
615  0$aArtificial intelligence?Data processing.
615  0$aCoding theory.
615  0$aInformation theory.
615  0$aComputer security.
615 14$aPrivacy.
615 24$aData Analysis and Big Data.
615 24$aData Mining and Knowledge Discovery.
615 24$aData Science.
615 24$aCoding and Information Theory.
615 24$aPrinciples and Models of Security.
676   $a005.8
700   $aQu$b Youyang$0853697
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910495251903321
996   $aPersonalized privacy protection in big data$92833915
997   $aUNINA