Preserving privacy information flow security in composite service evolution

Huan-feng PENG; Zhi-qiu HUANG; Lin-yuan LIU; Yong LI; Da-juan FAN; Yu-qing WANG

doi:10.1631/FITEE.1700359

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Preserving privacy information flow security in composite service evolution

Regular Papers | Updated：2022-05-19

- Preserving privacy information flow security in composite service evolution
- 保持隐私信息流安全性的服务组合演化方法
- Frontiers of Information Technology & Electronic Engineering Vol. 19, Issue 5, Pages: 626-638(2018)
- Affiliations：
  
  College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  College of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China
  College of Technology, Nanjing Audit University, Nanjing 210029, China
  Software Engineering Research Unit, University of Oulu, Oulu 90029, Finland
- Author bio：
  
  [ "Huan-feng PENG, E-mail: penghf@njit.edu.cn" ]
  Zhi-qiu HUANG, E-mail:zqhuang@nuaa.edu.cn
- Funds：
- DOI：10.1631/FITEE.1700359
  CLC： TP309
- Received：06 June 2017，
  
  Revised：2018-;5-10，
  
  Published：2018-05
- Accepted：
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Huan-feng PENG, Zhi-qiu HUANG, Lin-yuan LIU, et al. Preserving privacy information flow security in composite service evolution[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(5): 626-638.
DOI：

Huan-feng PENG, Zhi-qiu HUANG, Lin-yuan LIU, et al. Preserving privacy information flow security in composite service evolution[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(5): 626-638. DOI： 10.1631/FITEE.1700359.

摘要

隐私信息流安全的服务组合部署后，用户隐私需求与成员服务的信誉度等级均可能发生变化，保持隐私信息流安全性是非常重要的演化需求。提出一种保持隐私信息流安全性的服务组合演化方法。分析基于Petri网的隐私数据项依赖关系，计算各成员服务的隐私数据使用集及安全范围，最后提出保持隐私信息流安全性的演化操作集。通过操作实施演化，避免演化后隐私信息流安全性的完整验证过程，提高演化效率。通过实例分析说明该方法的有效性，并对其性能进行实验分析。结果表明，与完整安全性验证过程相比，该方法有较高演化效率，能大大降低演化代价。

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.

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