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| Content Provider | ACM Digital Library |
|---|---|
| Author | Minhas, Umar Farooq Cohen, Robin Tran, Thomas Zhang, Jie |
| Abstract | In this paper we introduce a multi-faceted trust model of use for the application of ad-hoc vehicular networks (VANETs) – scenarios where agents representing drivers exchange information with other drivers regarding road and traffic conditions. We argue that there is a need to model trust in various dimensions and that combining these elements effectively can assist agents in making transportation decisions. We then introduce two new elements to our proposed model: i) distinguishing direct and indirect reports that are shared ii) employing a penalty for misleading reports, to promote honesty. We demonstrate how these two elements together serve to increase the value of the trust model, through a series of experiments of simulated traffic. In brief, we present a framework to facilitate the effective sharing of information in VANET environments between agents representing the vehicles. |
| Starting Page | 243 |
| Ending Page | 247 |
| Page Count | 5 |
| ISBN | 9780769541914 |
| DOI | 10.1109/WI-IAT.2010.66 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-08-31 |
| Access Restriction | Subscribed |
| Subject Keyword | Trust modeling vanet traffic management information exchange |
| Content Type | Text |
| Resource Type | Article |
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