Name
Abstract | ||
|---|---|---|
To guarantee privacy in service oriented environments, it is essential to check for compatibility between a client's privacy requirements and a Web service privacy policies before invoking the Web service operation. In this paper, we focus on privacy at the Web service operation level. We present an approach that integrates k-Anonymity into a privacy management framework using Web Services Conversation Language (WSCL) definitions. In particular, we use the notion of k-Anonymity to determine the extent to which the invocation of an operation can be inferred if one knows that a downstream operation was invoked. We provide both a formal definition as well as an implementation of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICWS.2015.46 | International Conference on Web Services |
Keywords | Field | DocType |
Service selection, privacy, K-Anonymity | Web Services Conversation Language,World Wide Web,Privacy by Design,Computer science,Privacy policy,k-anonymity,Web service,Information privacy,Privacy software,Database,WS-Policy | Conference |
Citations | PageRank | References |
3 | 0.39 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nariman Ammar | 1 | 6 | 1.80 |
| Zaki Malik | 2 | 501 | 34.83 |
| Brahim Medjahed | 3 | 1077 | 73.34 |
| Mohammed Alodib | 4 | 35 | 6.57 |