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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationCODASPY'11 - Proceedings of the 1st ACM Conference on Data and Application Security and Privacy
Pages51-61
Number of pages11
DOIs
Publication statusPublished - 2011
Externally publishedYes
Publication typeA4 Article in a conference publication
Event1st ACM Conference on Data and Application Security and Privacy, CODASPY'11 - San Antonio, TX, United States
Duration: 21 Feb 201123 Feb 2011

Conference

Conference1st ACM Conference on Data and Application Security and Privacy, CODASPY'11
CountryUnited States
CitySan Antonio, TX
Period21/02/1123/02/11

Abstract

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.

Keywords

  • Access control, Information leakage, Privacy, Social networks