• Title/Summary/Keyword: 데이터 퍼튜베이션

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A Group based Privacy-preserving Data Perturbation Technique in Distributed OSN (분산 OSN 환경에서 프라이버시 보호를 위한 그룹 기반의 데이터 퍼튜베이션 기법)

  • Lee, Joohyoung;Park, Seog
    • KIISE Transactions on Computing Practices
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    • v.22 no.12
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    • pp.675-680
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    • 2016
  • The development of various mobile devices and mobile platform technology has led to a steady increase in the number of online social network (OSN) users. OSN users are free to communicate and share information through activities such as social networking, but this causes a new, user privacy issue. Various distributed OSN architectures are introduced to address the user privacy concern, however, users do not obtain technically perfect control over their data. In this study, the control rights of OSN user are maintained by using personal data storage (PDS). We propose a technique to improve data privacy protection that involves making a group with the user's friend by generating and providing fake text data based on user's real text data. Fake text data is generated based on the user's word sensitivity value, so that the user's friends can receive the user's differential data. As a result, we propose a system architecture that solves possible problems in the tradeoff between service utility and user privacy in OSN.