Neighbourhood-pair attack in social network data publishing Ninggal, MIH and Abawajy, JH 2014, Neighbourhood-pair attack in social network data publishing. In Stojmenovic,I, Cheng,Z and Guo,S (ed), Mobile and Ubiquitous Systems : Computing, Networking, and Services, Springer Verlag, Heidelberg, Germany, pp.726-731, doi: 10.1007/978-3-319-11569-6_61. Attached Files Name Description MIMEType Size Downloads Title Neighbourhood-pair attack in social network data publishing Author(s) Ninggal, MIH Abawajy, JH orcid.org/0000-0001-8962-1222 Title of book Mobile and Ubiquitous Systems : Computing, Networking, and Services Editor(s) Stojmenovic,I Cheng,Z Guo,S Publication date 2014 Series Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Chapter number 59 Total chapters 67 Start page 726 End page 731 Total pages 6 Publisher Springer Verlag Place of Publication Heidelberg, Germany Summary Vertex re-identification is one of the significant and challenging problems in social network. In this paper, we show a new type of vertex reidentification attack called neighbourhood-pair attack. This attack utilizes the neighbourhood topologies of two connected vertices. We show both theoretically and empirically that this attack is possible on anonymized social network and has higher re-identification rate than the existing structural attacks. ISBN 9783319115689 ISSN 1867-8211 Language eng DOI 10.1007/978-3-319-11569-6_61 Field of Research 080402 Data Encryption Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2014, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30069176 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment School of Information Technology ERA Postprints 2018 ERA Submission Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 21 Jan 2015, 13:52:07 EST Wed, 21 Jan 2015, 13:52:45 EST Mon, 02 Feb 2015, 09:40:46 EST Mon, 02 Feb 2015, 09:41:38 EST Mon, 02 Feb 2015, 13:15:36 EST Wed, 08 Apr 2015, 15:31:39 EST Sat, 18 Apr 2015, 06:11:07 EST Mon, 20 Apr 2015, 12:09:21 EST Mon, 20 Apr 2015, 12:10:11 EST Tue, 21 Apr 2015, 15:05:08 EST Sat, 13 Jan 2018, 01:37:09 EST Tue, 23 Jan 2018, 11:06:00 EST Fri, 06 Apr 2018, 14:03:28 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 582 Abstract Views, 17 File Downloads  -  Detailed Statistics Created: Mon, 02 Feb 2015, 09:40:46 EST

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