Data fusion for trust evaluation

• Main Authors: YAN, Zheng, ZHENG, Qinghua, YANG, Laurence T., DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Trust evaluation; information security; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/6415; https://ink.library.smu.edu.sg/context/sis_research/article/7418/viewcontent/InfoFusion_Ed_2021_sv.pdf
• Institution: Singapore Management University

Trust evaluation is a process to quantify trust by analyzing the data related to the factors that affect trust. It has been widely applied in many fields to facilitate decision making, system entity collaboration and security establishment. For example, in social networking, trust evaluation helps users make a social decision, reduce the risk of social interactions, and ensure the quality of a social networking environment. In digital communications, trust evaluation can be applied to detect malicious nodes, filter unwanted traffic and improve communication security. In e-commerce and cloud services, trust evaluation helps users selecting an appropriate product or service from a large number of candidates. In Peer-to-Peer (P2P) networking, trust evaluation supports identifying interactive objects, choosing friendly peers, and combating with malicious peers. Nowadays, trust evaluation has become a useful technique that has benefited many emerging areas by playing as a significant compensation to other security technologies.