Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-23556-6_3
DC FieldValue
dc.titleLORA: Link obfuscation by randomization in graphs
dc.contributor.authorXiao, Q.
dc.contributor.authorWang, Z.
dc.contributor.authorTan, K.-L.
dc.date.accessioned2013-07-04T08:34:17Z
dc.date.available2013-07-04T08:34:17Z
dc.date.issued2011
dc.identifier.citationXiao, Q.,Wang, Z.,Tan, K.-L. (2011). LORA: Link obfuscation by randomization in graphs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6933 LNCS : 33-51. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-23556-6_3" target="_blank">https://doi.org/10.1007/978-3-642-23556-6_3</a>
dc.identifier.isbn9783642235559
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41726
dc.description.abstractIn this paper, we propose a randomization scheme, LORA (Link Obfuscation by Randomization), to obfuscate edge existence in graphs. Specifically, we extract the source graph's hierarchical random graph model and reconstruct the released graph randomly with this model. We show that the released graph can preserve critical graph statistical properties even after a large number of edges have been replaced. To measure the effectiveness of our scheme, we introduce the notion of link entropy to quantify its privacy-preserving strength wrt the existence of edges. © 2011 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-23556-6_3
dc.sourceScopus
dc.subjectHierarchical Random Graph
dc.subjectLink Entropy
dc.subjectLink Obfuscation
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-23556-6_3
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume6933 LNCS
dc.description.page33-51
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.