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TRIBE: Trust revision for information based on evidence

TRIBE: Trust revision for information based on evidence
TRIBE: Trust revision for information based on evidence

In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is partially due to the fact that some of these sources may be erroneous or malicious. Therefore, it is critical to asses the trust in information before performing fusion. To estimate trust in information, existing approaches use trustworthiness of its source as a proxy. We argue that conflicts between information may also serve as evidence to reduce trust in information. In this paper, we use subjective opinions to represent information from diverse sources. We propose to exploit conflicts between opinions to revise their trustworthiness. For this purpose, we formalise trust revision as a constraint optimisation problem. Through extensive empirical studies, we show that our approach significantly outperform existing ones in the face of malicious information sources.

Constraint Optimisation, Dempster-Shafer Theory of Evidence, Information Fusion, Subjective Logic, Trust
914-921
Sensoy, Murat
769b0b6a-705b-456a-ab3d-123bca9cc66a
De Mel, Geeth
40468fde-9709-4937-8058-f3ecd32f8471
Kaplan, Lance
a645f3d7-9b77-40fb-ada7-903bedb28a25
Pham, Tien
3735ba81-11a0-45cc-bb52-5666fa47a4d7
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Sensoy, Murat
769b0b6a-705b-456a-ab3d-123bca9cc66a
De Mel, Geeth
40468fde-9709-4937-8058-f3ecd32f8471
Kaplan, Lance
a645f3d7-9b77-40fb-ada7-903bedb28a25
Pham, Tien
3735ba81-11a0-45cc-bb52-5666fa47a4d7
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d

Sensoy, Murat, De Mel, Geeth, Kaplan, Lance, Pham, Tien and Norman, Timothy J. (2013) TRIBE: Trust revision for information based on evidence. In Proceedings of the 16th International Conference on Information Fusion, FUSION 2013. pp. 914-921 .

Record type: Conference or Workshop Item (Paper)

Abstract

In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is partially due to the fact that some of these sources may be erroneous or malicious. Therefore, it is critical to asses the trust in information before performing fusion. To estimate trust in information, existing approaches use trustworthiness of its source as a proxy. We argue that conflicts between information may also serve as evidence to reduce trust in information. In this paper, we use subjective opinions to represent information from diverse sources. We propose to exploit conflicts between opinions to revise their trustworthiness. For this purpose, we formalise trust revision as a constraint optimisation problem. Through extensive empirical studies, we show that our approach significantly outperform existing ones in the face of malicious information sources.

Full text not available from this repository.

More information

Published date: 2013
Additional Information: Copyright: Copyright 2014 Elsevier B.V., All rights reserved.
Venue - Dates: 16th International Conference of Information Fusion, FUSION 2013, , Istanbul, Turkey, 2013-07-08 - 2013-07-11
Keywords: Constraint Optimisation, Dempster-Shafer Theory of Evidence, Information Fusion, Subjective Logic, Trust

Identifiers

Local EPrints ID: 450440
URI: http://eprints.soton.ac.uk/id/eprint/450440
PURE UUID: 08f63a1c-7ac2-4bfd-b6fa-5f99db469ea0
ORCID for Timothy J. Norman: ORCID iD orcid.org/0000-0002-6387-4034

Catalogue record

Date deposited: 28 Jul 2021 16:31
Last modified: 29 Jul 2021 01:45

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Contributors

Author: Murat Sensoy
Author: Geeth De Mel
Author: Lance Kaplan
Author: Tien Pham

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