The 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.

Identity Mining Vs Identity Discovering: A new approach based on data mining in the context of Big Data / Caruso, C.; Dimitri, A.; Mecella, M.. - P264:(2016), pp. 175-180. (Intervento presentato al convegno 2016 Open Identity Summit, OID 2016 tenutosi a Roma; Italy).

Identity Mining Vs Identity Discovering: A new approach based on data mining in the context of Big Data

Mecella M.
2016

Abstract

The 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.
2016
2016 Open Identity Summit, OID 2016
Analytics; Big data; Data mining; Identity management; Identity management system
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Identity Mining Vs Identity Discovering: A new approach based on data mining in the context of Big Data / Caruso, C.; Dimitri, A.; Mecella, M.. - P264:(2016), pp. 175-180. (Intervento presentato al convegno 2016 Open Identity Summit, OID 2016 tenutosi a Roma; Italy).
File allegati a questo prodotto
File Dimensione Formato  
Caruso_Identity-Mining_2017.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 75.58 kB
Formato Adobe PDF
75.58 kB Adobe PDF
Caruso_Frontespizio-indice_Identity-Mining_2017.pdf

accesso aperto

Note: https://dl.gi.de/bitstream/handle/20.500.12116/601/lni-p-264-komplett.pdf?sequence=1&isAllowed=y
Tipologia: Altro materiale allegato
Licenza: Creative commons
Dimensione 1.43 MB
Formato Adobe PDF
1.43 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1336523
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact