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

S. Kavianpour; B. Shanmugam; Zuraini Ismail

doi:10.1007/978-3-642-40576-1_27

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 proceeding › Conference Paper published in Proceedings › peer-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 language	English
Title of host publication	Communications in Computer and Information Science
Editors	S.M. Thampi, P.K. Atrey, CI. Fan, G.M. Perez
Place of Publication	Heidelberg, Berlin
Publisher	Springer-Verlag London Ltd.
Pages	272-280
Number of pages	9
ISBN (Print)	978-3-642-40575-4
DOIs	https://doi.org/10.1007/978-3-642-40576-1_27
Publication status	Published - 2013
Externally published	Yes
Event	International Symposium on Security in Computing and Communication (SSCC 2013) - Mysore, India Duration: 22 Aug 2013 → 24 Aug 2013 Conference number: 2013

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	377

Conference

Conference	International Symposium on Security in Computing and Communication (SSCC 2013)
Abbreviated title	SSCC
Country/Territory	India
City	Mysore
Period	22/08/13 → 24/08/13

Access to Document

10.1007/978-3-642-40576-1_27

Cite this

Kavianpour, S., Shanmugam, B., & Ismail, Z. (2013). Data Anonymization According to the Combination of Attributes on Social Network Sites. In S. M. Thampi, P. K. Atrey, CI. Fan, & G. M. Perez (Eds.), Communications in Computer and Information Science (pp. 272-280). (Communications in Computer and Information Science; Vol. 377). Springer-Verlag London Ltd.. https://doi.org/10.1007/978-3-642-40576-1_27

Kavianpour, S. ; Shanmugam, B. ; Ismail, Zuraini. / Data Anonymization According to the Combination of Attributes on Social Network Sites. Communications in Computer and Information Science. editor / S.M. Thampi ; P.K. Atrey ; CI. Fan ; G.M. Perez. Heidelberg, Berlin : Springer-Verlag London Ltd., 2013. pp. 272-280 (Communications in Computer and Information Science).

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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. ",

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Kavianpour, S, Shanmugam, B & Ismail, Z 2013, Data Anonymization According to the Combination of Attributes on Social Network Sites. in SM Thampi, PK Atrey, CI Fan & GM Perez (eds), Communications in Computer and Information Science. Communications in Computer and Information Science, vol. 377, Springer-Verlag London Ltd., Heidelberg, Berlin, pp. 272-280, International Symposium on Security in Computing and Communication (SSCC 2013), Mysore, India, 22/08/13. https://doi.org/10.1007/978-3-642-40576-1_27

Data Anonymization According to the Combination of Attributes on Social Network Sites. / Kavianpour, S.; Shanmugam, B.; Ismail, Zuraini.
Communications in Computer and Information Science. ed. / S.M. Thampi; P.K. Atrey; CI. Fan; G.M. Perez. Heidelberg, Berlin: Springer-Verlag London Ltd., 2013. p. 272-280 (Communications in Computer and Information Science; Vol. 377).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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AB - 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.

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Kavianpour S, Shanmugam B, Ismail Z. Data Anonymization According to the Combination of Attributes on Social Network Sites. In Thampi SM, Atrey PK, Fan CI, Perez GM, editors, Communications in Computer and Information Science. Heidelberg, Berlin: Springer-Verlag London Ltd. 2013. p. 272-280. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-40576-1_27

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

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