Publication | Closed Access
Challenges of Privacy Protection in Big Data Analytics
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2013
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Privacy ProtectionEngineeringInformation SecurityBig Data AnalyticsInformation PrivacyComputational Social ScienceData ScienceData AnonymizationCivil RightsBig Data ArchitectureData IntegrationBig DataData ManagementData PrivacyPrivacy-compliant WayComputer SciencePrivacyData SecurityData Protection
The big data paradigm implies that almost every type of information eventually can be derived from sufficiently large datasets. However, in such terms, linkage of personal data of individuals poses a severe threat to privacy and civil rights. In this position paper, we propose a set of challenges that have to be addressed in order to perform big data analytics in a privacy-compliant way.