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Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院

Journal:FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING

Key Words:Composite service Privacy information flow security Service evolution Petri net

Abstract:After a composite service is deployed, user privacy requirements and trust levels of component services are subject to variation. When the changes occur, it is critical to preserve privacy information flow security. We propose an approach to preserve privacy information flow security in composite service evolution. First, a privacy data item dependency analysis method based on a Petri net model is presented. Then the set of privacy data items collected by each component service is derived through a privacy data item dependency graph, and the security scope of each component service is calculated. Finally, the evolution operations that preserve privacy information flow security are defined. By applying these evolution operations, the re-verification process is avoided and the evolution efficiency is improved. To illustrate the effectiveness of our approach, a case study is presented. The experimental results indicate that our approach has high evolution efficiency and can greatly reduce the cost of evolution compared with re-verifying the entire composite service.

ISSN No.:2095-9184

Translation or Not:no

Date of Publication:2018-05-01

Co-author:Peng, Huan-feng,Liu, Lin-yuan,ly,Fan, Da-juan,Wang, Yu-qing

Correspondence Author:Huang ZhiQiu