文章基本信息

标题：A Privacy-Preserving Approach for Composite Web Service Selection
本地全文：下载
作者：Amine Belabed ; Esma Aïmeur ; Mohammed Amine Chikh 等
期刊名称：Transactions on Data Privacy
印刷版ISSN：1888-5063
电子版ISSN：2013-1631
出版年度：2017
卷号：10
期号：2
页码：83-115
语种：English
出版社：IIIA-CSIC
摘要：Web services technologies are considered as the most promising technologies for the integration of applications and heterogeneous data sources. In spite of the progress achieved in this area, the issue of users' privacy protection remains a major concern for both academic and industrial communities. This paper presents a model for preserving privacy in the context of web services and demonstrates its feasibility in a web service selection scenario. In addition, we introduce three privacy based selection approaches. The first one is based on a best first search like procedure, while the two others are based on two well-known declarative AI models, namely propositional satisfiability (SAT) and answer set programming (ASP). Finally, an experimental evaluation on different types of datasets, demonstrates the effectiveness of our proposed approaches.
关键词：Privacy; Web Services; Selection; Composition.