A Recommendation System for Anonymous Fingerprinting of Text Posted on Social Networks
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概要
- 論文の詳細を見る
Sensitive information about a user can be disclosed by the user's Online Social Networks (OSNs) friends. This makes it unsafe for a user to share information. One approach to overcoming this problem is to anonymize the sensitive text information by removing all sensitive ones but the anonymous texts have no natural meaning. Another approach is to create different fingerprints for certain sensitive information by using synonyms. However, the methods proposed for doing this do not anonymize the information. We have developed an algorithm for creating enough anonymous fingerprints to cover most cases of OSNs. The fingerprints not only anonymize a user's sensitive information but also can be used to identify a person who has disclosed sensitive information about the user. Fingerprints are quantified using a modified discernability metric to ensure that an appropriate level of privacy is used for each group. Moreover, a fingerprint cannot be converted by an attacker into one that causes the algorithm to incorrectly identify a person who has revealed sensitive information. The algorithm was demonstrated by using it in an application for controlling the disclosure of information on Facebook.
- 2013-05-17
著者
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SONEHARA Noboru
National Institute of Informatics
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ECHIZEN Isao
National Institute of Informatics
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YOSHIURA Hiroshi
University of Electro-Communications
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Sonehara Noboru
National Inst. Informatics
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NGUYEN-SON Hoang-Quoc
The Graduate University for Advanced Studies
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