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dc.contributor.authorCaruso, Costantina
dc.contributor.authorDimitri, Andrea
dc.contributor.authorMecella, Massimo
dc.contributor.editorHühnlein, Detlef
dc.contributor.editorRoßnagel, Heiko
dc.contributor.editorSchunck, Christian H.
dc.contributor.editorTalamo, Maurizio
dc.date.accessioned2017-06-20T11:39:37Z
dc.date.available2017-06-20T11:39:37Z
dc.date.issued2016
dc.identifier.isbn978-3-88579-658-9
dc.identifier.issn1617-5468
dc.description.abstractThe economy of an advanced country is, every day more, based on complex information systems and interconnected networks that made its cyberspace. Security in this cyberspace is an essential requirement. In Italy a national lab for Italian government has been constituted. In this framework identity and identity management systems has been studied. The depicted scenario defines new open questions and new challenges. In this paper we propose to deal with identity management in complex systems using analytical tools coming from anomaly detection for big data.
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-264
dc.titleIdentity mining vs identity discovering: a new approach
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages175-180
mci.conference.locationRome, Italy
mci.conference.date13.-14. October 2016


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