LEADER 01791nam  2200373z- 450 
001 9910347060403321
005 20210211
010   $a1000036269
035   $a(CKB)4920000000101912
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41743
035   $a(oapen)doab41743
035   $a(EXLCZ)994920000000101912
100   $a20202102d2013      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAvoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks
210   $cKIT Scientific Publishing$d2013
215   $a1 online resource (XVIII, 196 p. p.)
311 08$a3-7315-0094-9 
330   $aThis 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.
517   $aAvoiding Unintended Flows of Personally Identifiable Information
610   $aBig Data Analytics
610   $aEnterprise Identity and Access Management
610   $aFacebook
610   $aOnline Social Networks
610   $aSAML
700   $aLabitzke$b Sebastian$4auth$01302955
906   $aBOOK
912   $a9910347060403321
996   $aAvoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks$93026768
997   $aUNINA