Joint Attack: A New Privacy Attack for Incremental Data Publishing

© 2016 IEEE. Although there are several privacy approaches, which are designed for incremental data publishing, these privacy approaches can cope with only similarity and difference attacks. In this paper, we propose a new pattern of privacy attack for incremental data publishing, so called joint at...

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Main Authors:	Torsak Soontornphand, Juggapong Natwichai
Format:	Conference Proceeding
Published:	2018
Subjects:	Computer Science
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85011094663&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55491
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-55491
record_format	dspace
spelling	th-cmuir.6653943832-554912018-09-05T02:57:10Z Joint Attack: A New Privacy Attack for Incremental Data Publishing Torsak Soontornphand Juggapong Natwichai Computer Science © 2016 IEEE. Although there are several privacy approaches, which are designed for incremental data publishing, these privacy approaches can cope with only similarity and difference attacks. In this paper, we propose a new pattern of privacy attack for incremental data publishing, so called joint attack. We first illustrate the joint attack by example. Then, the investigation on the characteristics of the joint attack is made. Finally, we propose a simple yet effective algorithm to resolve such joint attack as well as the two well-known attacks, i.e. similarity and difference attacks. From the experimental results, we can conclude that our approach is effective. 2018-09-05T02:57:10Z 2018-09-05T02:57:10Z 2016-12-16 Conference Proceeding 2-s2.0-85011094663 10.1109/NBiS.2016.90 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85011094663&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55491
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science
spellingShingle	Computer Science Torsak Soontornphand Juggapong Natwichai Joint Attack: A New Privacy Attack for Incremental Data Publishing
description	© 2016 IEEE. Although there are several privacy approaches, which are designed for incremental data publishing, these privacy approaches can cope with only similarity and difference attacks. In this paper, we propose a new pattern of privacy attack for incremental data publishing, so called joint attack. We first illustrate the joint attack by example. Then, the investigation on the characteristics of the joint attack is made. Finally, we propose a simple yet effective algorithm to resolve such joint attack as well as the two well-known attacks, i.e. similarity and difference attacks. From the experimental results, we can conclude that our approach is effective.
format	Conference Proceeding
author	Torsak Soontornphand Juggapong Natwichai
author_facet	Torsak Soontornphand Juggapong Natwichai
author_sort	Torsak Soontornphand
title	Joint Attack: A New Privacy Attack for Incremental Data Publishing
title_short	Joint Attack: A New Privacy Attack for Incremental Data Publishing
title_full	Joint Attack: A New Privacy Attack for Incremental Data Publishing
title_fullStr	Joint Attack: A New Privacy Attack for Incremental Data Publishing
title_full_unstemmed	Joint Attack: A New Privacy Attack for Incremental Data Publishing
title_sort	joint attack: a new privacy attack for incremental data publishing
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85011094663&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55491
_version_	1681424515709534208

Joint Attack: A New Privacy Attack for Incremental Data Publishing

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