Data Anonymization According to the Combination of Attributes on Social Network Sites

S. Kavianpour, B. Shanmugam, Zuraini Ismail

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

Abstract

The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users' future decisions or positions. Thus, the goal of this paper is to explain how users' data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.
Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
EditorsS.M. Thampi, P.K. Atrey, CI. Fan, G.M. Perez
Place of PublicationHeidelberg, Berlin
PublisherSpringer-Verlag London Ltd.
Pages272-280
Number of pages9
ISBN (Print)978-3-642-40575-4
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventInternational Symposium on Security in Computing and Communication (SSCC 2013) - Mysore, India
Duration: 22 Aug 201324 Aug 2013
Conference number: 2013

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume377

Conference

ConferenceInternational Symposium on Security in Computing and Communication (SSCC 2013)
Abbreviated titleSSCC
CountryIndia
CityMysore
Period22/08/1324/08/13

Fingerprint

Dive into the research topics of 'Data Anonymization According to the Combination of Attributes on Social Network Sites'. Together they form a unique fingerprint.

Cite this