User-credibility Based Service Reputation Management for Service Selection

DOI

10.2991/csss-14.2014.132How to use a DOI?

Keywords

service reputation; user credibility; malicious feedbacks;

Abstract

In composite services, the atomic service reputation is becoming important when many similar functional services could be provided for selecting under the heterogeneous and loose- coupled circumstance . However, existing reputation measurement methods pay little attention on user credibility which has a great influence o n accuracy. In this paper, we define user credibility as the ability of honest users to provide rational feedback s, and propose a novel service reputation management model based on service invocation information and user feedback. This method consists of three parts: malicious feedbacks distinguishing, user credibility evaluating and service reputation predicting. Firstly, a clustering algorithm is conceived to filter out malicious feedbacks. Then a feedback deviation based algorithm is proposed to evaluate the user credibility considering service QoS similarity. Finally, an algorithm on the basis of user credibility and honest feedback s is applied to predict service reputation . Experiment proves that our model can effectively detect malicious feedbacks and precisely measure service reputation with low error.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiuxin Cao
AU  - Yi Dong
AU  - Yi Qin
AU  - Bo Liu
AU  - Fang Dong
AU  - Tao Zhou
PY  - 2014/06
DA  - 2014/06
TI  - User-credibility Based Service Reputation Management for Service Selection
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 562
EP  - 568
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.132
DO  - 10.2991/csss-14.2014.132
ID  - Cao2014/06
ER  -