首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:A Novel Framework using Elliptic Curve Cryptography for Extremely Secure Transmission in Distributed Privacy Preserving Data Mining
  • 本地全文:下载
  • 作者:Kiran P ; S Sathish Kumar ; Kavya N P
  • 期刊名称:Advanced Computing : an International Journal
  • 印刷版ISSN:2229-726X
  • 电子版ISSN:2229-6727
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • DOI:10.5121/acij.2012.3210
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Privacy Preserving Data Mining is a method which ensures privacy of individual information during mining. Most important task involves retrieving information from multiple data bases which is distributed. The data once in the data warehouse can be used by mining algorithms to retrieve confidential information. The proposed framework has two major tasks, secure transmission and privacy of confidential information during mining. Secure transmission is handled by using elliptic curve cryptography and data distortion for privacy preservation ensuring highly secure environment.
  • 关键词:Elliptic Curve Cryptograph; Data Distortion and Privacy Preserving Data Mining
国家哲学社会科学文献中心版权所有