Data provenance in SOA: security, reliability, and integrity

被引：21

作者：

Tsai, W. T. ^{[1
]}

Wei, Xiao ^{[1
]}

Chen, Yinong ^{[1
]}

Paul, Ray ^{[2
]}

Chung, Jen-Yao ^{[3
]}

Zhang, Dawei ^{[1
]}

机构：

[1] Arizona State Univ, Dept Comp Sci & Engn, Tempe, AZ 85287 USA

[2] Dept Def, Washington, DC 20301 USA

[3] IBM T J Watson Res Ctr, Armonk, NY 10504 USA

来源：

SERVICE ORIENTED COMPUTING AND APPLICATIONS | 2007年 / 1卷 / 04期

关键词：

Data provenance; Data security; Data reliability; Data integrity; Data provenance classification; Data collection; Data integrity estimation model;

D O I：

10.1007/s11761-007-0018-8

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Due to the dynamic nature, such as services composition and evaluation, it is critical for a Service-Oriented Architecture (SOA) system to consider its data provenance, which concerns security, reliability, and integrity of data as they are being routed in the system. In a traditional software system, one focuses on the software itself to determine the security, reliability, and integrity of the software. In an SOA system, however, one also needs to consider origins and routes of data and their impact, i.e., data provenance. This paper first analyzes the unique nature and characteristics of data provenance in an SOA system, particularly related to data security, reliability, and integrity. Then it proposes a new framework for data provenance analysis in an SOA system. Finally, this paper uses an example which illustrates these techniques.

引用

页码：223 / 247

页数：25

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