首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:Privacy Preserving in Collaborative Data Publishing
  • 本地全文:下载
  • 作者:K. Reddi Kumari ; P.Rajarajeswari ; Dr.D.Vasumathi
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:5
  • 页码:6705-6706
  • 出版社:TechScience Publications
  • 摘要:Security and maintaining privacy of data, have become a challenging issue with innovations in information technology. The quantity of data that is streaming on internet is growing at an exponential rate. The capability to interconnect and sharing data has several advantages, and it carries a notable value to research and designing data analysis models. Due to the increasing issue of identity theft, it is difficult to avoid the maltreatment of data. For this reason, we need to maintain the security of data by means of a third party which is taking care of the data being shared. Secure multiparty computation is one of the model, which acts as a third party to achieve it. But this model does not guarantee that organizations are providing truthful data and provides communication between two organizations only. For this reason we are proposing game theoretic mechanism to encourage honest behavior among organizations in sharing private data correctly and it provide communication among multiple organizations. In this work, we will study the incentive issues present in another data analysis models.
  • 关键词:Game theory; Non Cooperative Computation;Multi Party Computation
国家哲学社会科学文献中心版权所有