Abstract
Privacy is an important issue that has raised particular concerns among many research areas. This issue dramatically increases with the proliferation of the Web services composition paradigm. This is mainly due to the high dynamism and untrustworthiness characteristics of the services to be composed, which impose high levels of risk on the interacting parties. Existing technologies for managing and applying data privacy policies fail to deal with this kind of applications as they involve autonomous entities and continuously exchange huge amount of information of different natures. In this context, this paper tackles the problem of modeling, managing and preserving privacy in Web service composition processes. It aims to design and develop an integrated framework to enhance Web service compositions with privacy protection capabilities taking into account user privacy preferences and privacy policies and requirements of service providers.
Original language | English |
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Title of host publication | Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 367-374 |
Number of pages | 8 |
ISBN (Electronic) | 9781509043149 |
DOIs | |
Publication status | Published - Mar 10 2017 |
Event | 16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji Duration: Dec 7 2016 → Dec 10 2016 |
Other
Other | 16th IEEE International Conference on Computer and Information Technology, CIT 2016 |
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Country/Territory | Fiji |
City | Nadi |
Period | 12/7/16 → 12/10/16 |
Keywords
- Adaptation
- Compliance
- Composition
- Privacy
- Ranking
- Web services
ASJC Scopus subject areas
- Software
- Computer Science Applications
- Computer Networks and Communications
- Information Systems
- Safety, Risk, Reliability and Quality