01791nam 2200373z- 450 9910347060403321202102111000036269(CKB)4920000000101912(oapen)https://directory.doabooks.org/handle/20.500.12854/41743(oapen)doab41743(EXLCZ)99492000000010191220202102d2013 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAvoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social NetworksKIT Scientific Publishing20131 online resource (XVIII, 196 p. p.)3-7315-0094-9 This work addresses potentially occurring unintended flows of personally identifiable information (PII) within two fields of research, i.e., enterprise identity management and online social networks. For that, we investigate which pieces of PII can how often be gathered, correlated, or even be inferred by third parties that are not intended to get access to the specific pieces of PII. Furthermore, we introduce technical measures and concepts to avoid unintended flows of PII.Avoiding Unintended Flows of Personally Identifiable InformationBig Data AnalyticsEnterprise Identity and Access ManagementFacebookOnline Social NetworksSAMLLabitzke Sebastianauth1302955BOOK9910347060403321Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks3026768UNINA