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  • 标题:A Glance at Secure Multiparty Computation for Privacy Preserving Data Mining
  • 本地全文:下载
  • 作者:Dr. Durgesh Kumar Mishra ; Purnima Trivedi ; Samiksha Shukla
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2009
  • 卷号:1
  • 期号:3
  • 页码:171-175
  • 出版社:Engg Journals Publications
  • 摘要:In this paper, we provide an overview of the new and rapidly emerging research area of Secure Multiparty Computation (SMC). We also propose several existing as well as new SMC problems along with some solutions. It provides detailed overview of work done so far in this area and a brief evaluation and conclusion about SMC. SMC literally means: Secure - Safety concerns for data security and integrity of individual organizations. Multiparty - Involving multiple organizations/parties for Privacy Preserving Data Mining (PPDM). Computations- Any global operations. Therefore, keeping them together, it is a mechanism to provide collaborate computations of multiple organizations without revealing data of individual organization.
  • 关键词:Privacy; Security; Trusted Third Party; Secure Multiparty Computation.
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