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| Content Provider | ACM Digital Library |
|---|---|
| Author | Li, Mingchu Fan, Xinxin Liu, Ling Zhou, Yang Su, Zhiyuan |
| Copyright Year | 2015 |
| Abstract | Distributed service networks are popular platforms for service providers to offer services to consumers and for service consumers to acquire services from unknown parties. eBay and Amazon are two well-known examples of enabling and hosting such service networks to connect service providers to service consumers. Trust management is a critical component for scaling such distributed service networks to a large and growing number of participants. In this article, we present $ServiceTrust^{++},$ a feedback quality--sensitive and attack resilient trust management scheme for empowering distributed service networks with effective trust management capability. Compared with existing trust models, $ServiceTrust^{++}$ has several novel features. First, we present six attack models to capture both independent and colluding attacks with malicious cliques, malicious spies, and malicious camouflages. Second, we aggregate the feedback ratings based on the variances of participants’ feedback behaviors and incorporate feedback similarity as weight into the local trust algorithm. Third, we compute the global trust of a participant by employing conditional trust propagation based on the feedback similarity threshold. This allows $ServiceTrust^{++}$ to control and prevent malicious spies and malicious camouflage peers from boosting their global trust scores by manipulating the feedback ratings of good peers and by taking advantage of the uniform trust propagation. Finally, we systematically combine a trust-decaying strategy with a threshold value--based conditional trust propagation to further strengthen the robustness of our global trust computation against sophisticated malicious feedback. Experimental evaluation with both simulation-based networks and real network dataset Epinion show that $ServiceTrust^{++}$ is highly resilient against all six attack models and highly effective compared to EigenTrust, the most popular and representative trust propagation model to date. |
| Starting Page | 1 |
| Ending Page | 37 |
| Page Count | 37 |
| File Format | |
| ISSN | 15591131 |
| e-ISSN | 1559114X |
| DOI | 10.1145/2754934 |
| Volume Number | 9 |
| Issue Number | 3 |
| Journal | ACM Transactions on the Web (TWEB) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-06-16 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Feedback rating quality Trust Attack resilience Distributed service network Reliability |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications |
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