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Preserving utility in social network graph anonymization
conference contribution
posted on 2013-01-01, 00:00 authored by Mohd Izuan Hafez Ninggal, Jemal AbawajyJemal AbawajyTo protect from privacy disclosure, the social network graph is modified in order to hide the information that potentially be used to disclose person's identity. However, when the social network graph is changed, it is a great challenge to balance between the privacy gained and the loss of data utility. In this paper, we address this problem. We propose a new graph topological-based metric to improve utility preservation in social network graph anonymization. We compare the proposed approach with the amount-of-edge-change metric that popularly used in most of previous works. Experimental evaluation shows that our approach generates anonymized social network with improved utility preservation.
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Event
IEEE Trust, Security and Privacy in Computing and Communications. Conference (12th : 2013 : Melbourne, Victoria)Pagination
226 - 232Publisher
IEEE Computer SocietyLocation
Melbourne, VictoriaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2013-07-16End date
2013-07-18ISBN-13
9780769550220Language
engPublication classification
E1 Full written paper - refereed; E Conference publicationCopyright notice
2013, IEEETitle of proceedings
TrustCom 2013 : Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and CommunicationsUsage metrics
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