TRIBE: Trust revision for information based on evidence

Title TRIBE: Trust revision for information based on evidence
Author Şensoy, Murat, de Mel, G., Kaplan, L., Pham, T., Norman, T. J.
Publication Date: 2013
Publication Place - IEEE
Subject Information fusion, Trust, Constraint optimisation, Subjective logic, Dempster-shafer theory of evidence
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-605-86311-1-3
Record ID 5236ac67-d463-404e-ab91-596c63bb4ceb
Library Location Computer Science
Date 2013
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text 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.
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TRIBE: Trust revision for information based on evidence

Author Şensoy, Murat, de Mel, G., Kaplan, L., Pham, T., Norman, T. J.
Publication Date 2013
Publication Place - IEEE
Subject Information fusion, Trust, Constraint optimisation, Subjective logic, Dempster-shafer theory of evidence
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-605-86311-1-3
Record ID 5236ac67-d463-404e-ab91-596c63bb4ceb
Library Location Computer Science
Date 2013
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text 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.
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