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 |
|---|---|
| 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 |
|---|---|
| Country | Fiji |
| City | Nadi |
| Period | 12/7/16 → 12/10/16 |
Fingerprint
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
Cite this
Towards privacy-aware web services compositions. / Khabou, Imen; Rouached, Mohsen; Bouaziz, Rafik; Abid, Mohamed.
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. Institute of Electrical and Electronics Engineers Inc., 2017. p. 367-374 7876362.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Towards privacy-aware web services compositions
AU - Khabou, Imen
AU - Rouached, Mohsen
AU - Bouaziz, Rafik
AU - Abid, Mohamed
PY - 2017/3/10
Y1 - 2017/3/10
N2 - 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.
AB - 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.
KW - Adaptation
KW - Compliance
KW - Composition
KW - Privacy
KW - Ranking
KW - Web services
UR - http://www.scopus.com/inward/record.url?scp=85017396964&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017396964&partnerID=8YFLogxK
U2 - 10.1109/CIT.2016.26
DO - 10.1109/CIT.2016.26
M3 - Conference contribution
AN - SCOPUS:85017396964
SP - 367
EP - 374
BT - 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
PB - Institute of Electrical and Electronics Engineers Inc.
ER -