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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/9591

タイトル: Efficient Privacy-Preserving Data Mining in Malicious Model
著者: Emura, Keita
Miyaji, Atsuko
Rahman, Mohammad Shahriar
キーワード: Privacy-preserving Data Mining
Malicious Model
Threshold Two-party Computation
Efficiency
発行日: 2010
出版者: Springer
誌名: Lecture Notes in Computer Science
巻: 6440/2010
開始ページ: 370
終了ページ: 382
DOI: 10.1007/978-3-642-17316-5_36
抄録: In many distributed data mining settings, disclosure of theoriginal data sets is not acceptable due to privacy concerns. To address such concerns, privacy-preserving data mining has been an active research area in recent years. While confidentiality is a key issue, scalability is also an important aspect to assess the performance of a privacypreserving data mining algorithms for practical applications. With this in mind, Kantarcioglu et al. proposed secure dot product and secure setintersectionprotocols for privacy-preserving data mining in maliciousadversarial model using zero knowledge proofs, since the assumption of semi-honest adversary is unrealistic in some settings. Both the computation and communication complexities are linear with the number of data items in the protocols proposed by Kantarcioglu et al. In this paper, we build efficient and secure dot product and set-intersection protocols in malicious model. In our work, the complexity of computation and communication for proof of knowledge is always constant (independent of thenumber of data items), while the complexity of computation and communication for the encrypted messages remains the same as in Kantarcioglu et al.’s work (linear with the number of data items). Furthermore, we provide the security model in Universal Composability framework.
Rights: This is the author-created version of Springer, Keita Emura, Atsuko Miyaji and Mohammad Shahriar Rahman, Lecture Notes in Computer Science, 6440/2010, 2010, 370-382. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-17316-5_36
URI: http://hdl.handle.net/10119/9591
資料タイプ: author
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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