Quercia, D.;
Hailes, S.;
Capra, L.;
(2007)
TRULLO - local trust bootstrapping for ubiquitous devices.
In:
MobiQuitous 2007. Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services, 2007.
(pp. pp. 1-9).
IEEE
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Abstract
Handheld devices have become sufficiently powerful that it is easy to create, disseminate, and access digital content (e.g., photos, videos) using them. The volume of such content is growing rapidly and, from the perspective of each user, selecting relevant content is key. To this end, each user may run a trust model - a software agent that keeps track of who disseminates content that its user finds relevant. This agent does so by assigning an initial trust value to each producer for a specific category (context); then, whenever it receives new content, the agent rates the content and accordingly updates its trust value for the producer in the content category. However, a problem with such an approach is that, as the number of content categories increases, so does the number of trust values to be initially set. This paper focuses on how to effectively set initial trust values. The most sophisticated of the current solutions employ predefined context ontologies, using which initial trust in a given context is set based on that already held in similar contexts. However, universally accepted (and time invariant) ontologies are rarely found in practice. For this reason, we propose a mechanism called TRULLO (TRUst bootstrapping by Latently Lifting cOntext) that assigns initial trust values based only on local information (on the ratings of its user’s past experiences) and that, as such, does not rely on third-party recommendations. We evaluate the effectiveness of TRULLO by simulating its use in an informal antique market setting. We also evaluate the computational cost of a J2ME implementation of TRULLO on a mobile phone.
| Type: | Proceedings paper |
|---|---|
| Title: | TRULLO - local trust bootstrapping for ubiquitous devices |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/MOBIQ.2007.4451015 |
| Publisher version: | http:10.1109/MOBIQ.2007.4451015 |
| Language: | English |
| Additional information: | Copyright 2007 IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University College London's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
| URI: | https://discovery.ucl.ac.uk/id/eprint/4714 |
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