Presentation 2014-07-03
Evaluation of a Classification Table for Invasion of Privacy in SNSs Using Normalized Rank Method
Shimon MACHIDA, Tomoko KAJIYAMA, Shigeru SHIMADA, Isao ECHIZEN,
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Abstract(in English) By posting a message to Social Networking Service(SNS) unintentionally, the message, including personal information, is revealed to other users of SNS. As a result, an SNS user loses his/her job and unintentional posts can result to unforeseen problems. To detect sensitive data leaks, we defined a classification table of sensitive data for SNS associated with disclosure levels and the classification is according to contents of information that should be kept private. In this paper, in order to verify the validity of the classification table, whether or not containing sensitive information, we evaluated the classification table regarding the importance of privacy using normalized rank method. As a result, we found that the classification table is an effective criteria when a user posts a message to an SNS.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Invasion of Privacy / Access Control / SNS / Normalized Rank Method / Survey
Paper # ISEC2014-23,SITE2014-18,ICSS2014-27,EMM2014-23
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Committee ICSS
Conference Date 2014/6/26(1days)
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Paper Information
Registration To Information and Communication System Security (ICSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of a Classification Table for Invasion of Privacy in SNSs Using Normalized Rank Method
Sub Title (in English)
Keyword(1) Invasion of Privacy
Keyword(2) Access Control
Keyword(3) SNS
Keyword(4) Normalized Rank Method
Keyword(5) Survey
1st Author's Name Shimon MACHIDA
1st Author's Affiliation The Graduate University for Advanced Studies()
2nd Author's Name Tomoko KAJIYAMA
2nd Author's Affiliation Aoyama Gakuin University
3rd Author's Name Shigeru SHIMADA
3rd Author's Affiliation Tokyo Metropolitan University AIIT
4th Author's Name Isao ECHIZEN
4th Author's Affiliation The Graduate University for Advanced Studies:National Institute of Informatics
Date 2014-07-03
Paper # ISEC2014-23,SITE2014-18,ICSS2014-27,EMM2014-23
Volume (vol) vol.114
Number (no) 117
Page pp.pp.-
#Pages 4
Date of Issue