A Complex Estimation Function based on Community Reputation for On-line Transaction Systems
A reputation management system is crucial in online transaction systems, in which a reputation function is its central component. We propose a generalized set-theoretic reputation function in this paper, which can be configured to meet various assessment requirements of a wide range of reputation sc...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Springer
2012-09-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25868022.pdf |
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author | Yu Yang Shang-bao Gong Yu-cui Guo Min Lei Yan Yang |
author_facet | Yu Yang Shang-bao Gong Yu-cui Guo Min Lei Yan Yang |
author_sort | Yu Yang |
collection | DOAJ |
description | A reputation management system is crucial in online transaction systems, in which a reputation function is its central component. We propose a generalized set-theoretic reputation function in this paper, which can be configured to meet various assessment requirements of a wide range of reputation scenarios encountered in online transaction nowadays. We analyze and verify tolerance of this reputation function against various socio-communal reputation attacks. We find the function to be dynamic, customizable and tolerant against different attacks. As such it can serve well in many online transaction systems such as e-commerce websites, online group activities, and P2P systems. |
first_indexed | 2024-12-11T21:38:03Z |
format | Article |
id | doaj.art-eab23e8aeb344119bc0aeb798295e718 |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-12-11T21:38:03Z |
publishDate | 2012-09-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
spelling | doaj.art-eab23e8aeb344119bc0aeb798295e7182022-12-22T00:49:57ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832012-09-015510.1080/18756891.2012.733225A Complex Estimation Function based on Community Reputation for On-line Transaction SystemsYu YangShang-bao GongYu-cui GuoMin LeiYan YangA reputation management system is crucial in online transaction systems, in which a reputation function is its central component. We propose a generalized set-theoretic reputation function in this paper, which can be configured to meet various assessment requirements of a wide range of reputation scenarios encountered in online transaction nowadays. We analyze and verify tolerance of this reputation function against various socio-communal reputation attacks. We find the function to be dynamic, customizable and tolerant against different attacks. As such it can serve well in many online transaction systems such as e-commerce websites, online group activities, and P2P systems.https://www.atlantis-press.com/article/25868022.pdfReputation estimationTimelinessCommunity reputationAttack tolerance |
spellingShingle | Yu Yang Shang-bao Gong Yu-cui Guo Min Lei Yan Yang A Complex Estimation Function based on Community Reputation for On-line Transaction Systems International Journal of Computational Intelligence Systems Reputation estimation Timeliness Community reputation Attack tolerance |
title | A Complex Estimation Function based on Community Reputation for On-line Transaction Systems |
title_full | A Complex Estimation Function based on Community Reputation for On-line Transaction Systems |
title_fullStr | A Complex Estimation Function based on Community Reputation for On-line Transaction Systems |
title_full_unstemmed | A Complex Estimation Function based on Community Reputation for On-line Transaction Systems |
title_short | A Complex Estimation Function based on Community Reputation for On-line Transaction Systems |
title_sort | complex estimation function based on community reputation for on line transaction systems |
topic | Reputation estimation Timeliness Community reputation Attack tolerance |
url | https://www.atlantis-press.com/article/25868022.pdf |
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