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A probability-based approach to modeling the risk of unauthorized propagation of information in on-line social networks

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoCODASPY'11 - Proceedings of the 1st ACM Conference on Data and Application Security and Privacy
Sivut51-61
Sivumäärä11
DOI - pysyväislinkit
TilaJulkaistu - 2011
Julkaistu ulkoisestiKyllä
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma1st ACM Conference on Data and Application Security and Privacy, CODASPY'11 - San Antonio, TX, Yhdysvallat
Kesto: 21 helmikuuta 201123 helmikuuta 2011

Conference

Conference1st ACM Conference on Data and Application Security and Privacy, CODASPY'11
MaaYhdysvallat
KaupunkiSan Antonio, TX
Ajanjakso21/02/1123/02/11

Tiivistelmä

The unauthorized propagation of information is an important problem in the Internet, especially because of the increasing popularity of On-line Social Networks. To address this issue, many access control mechanisms have been proposed so far, but there is still a lack of techniques to evaluate the risk of unauthorized flow of information within social networks. This paper introduces a probability-based approach to modeling the likelihood that information propagates from one social network user to users who are not authorized to access it. The approach is demonstrated via an example, to show how it can be applied in practical cases.