01770nam 2200361z- 450 991034706040332120240408152355.01000036269(CKB)4920000000101912(oapen)https://directory.doabooks.org/handle/20.500.12854/41743(EXLCZ)99492000000010191220202102d2013 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAvoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social NetworksKIT Scientific Publishing20131 electronic 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 ManagementOnline Social NetworksSAMLFacebookLabitzke Sebastianauth1302955BOOK9910347060403321Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks3026768UNINA