首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Trust evaluation based on evidence theory in online social networks
  • 本地全文:下载
  • 作者:Jian Wang ; Kuoyuan Qiao ; Zhiyong Zhang
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2018
  • 卷号:14
  • 期号:10
  • 页码:1
  • DOI:10.1177/1550147718794629
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Trust is an important criterion for access control in the field of online social networks privacy preservation. In the present methods, the subjectivity and individualization of the trust is ignored and a fixed model is built for all the users. In fact, different users probably take different trust features into their considerations when making trust decisions. Besides, in the present schemes, only users’ static features are mapped into trust values, without the risk of privacy leakage. In this article, the features that each user cares about when making trust decisions are mined by machine learning to be User-Will. The privacy leakage risk of the evaluated user is estimated through information flow predicting. Then the User-Will and the privacy leakage risk are all mapped into trust evidence to be combined by an improved evidence combination rule of the evidence theory. In the end, several typical methods and the proposed scheme are implemented to compare the performance on dataset Epinions. Our scheme is verified to be more advanced than the others by comparing the F-Score and the Mean Error of the trust evaluation results.
  • 关键词:Trust evaluation; evidence theory; online social networks; information flow prediction; decision making
国家哲学社会科学文献中心版权所有