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:	Soontornphand T., Natwichai J.
Format:	Conference Proceeding
Published:	2017
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85011094663&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41200
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-41200
record_format	dspace
spelling	th-cmuir.6653943832-412002017-09-28T04:19:54Z Joint Attack: A New Privacy Attack for Incremental Data Publishing Soontornphand T. Natwichai J. © 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. 2017-09-28T04:19:54Z 2017-09-28T04:19:54Z 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/6653943832/41200
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
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	Soontornphand T. Natwichai J.
spellingShingle	Soontornphand T. Natwichai J. Joint Attack: A New Privacy Attack for Incremental Data Publishing
author_facet	Soontornphand T. Natwichai J.
author_sort	Soontornphand T.
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	2017
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85011094663&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41200
_version_	1681421958285099008

Joint Attack: A New Privacy Attack for Incremental Data Publishing

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