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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/107529


    題名: VRS: a values-based reputation system for web services
    作者: 許富皓;Hsu, Fu‐Hau;Hsu, Yu‐Liang;Hwang, Yan‐Ling;Chen, Li‐Han;Wang, Chuan‐Sheng;Tso, Chang‐Kuo;Liu, Szu‐Chi;Lin, Po‐Ching;Hsu, Chi‐Hsien
    貢獻者: 資訊電機學院資訊工程學系
    關鍵詞: Appraisals;Communication networks;Computer information security;Customizing;Ratings;recommendation system;Recommender systems;reputation system;Robustness;Sybil attack;web service;Web services
    日期: 2016-12-01
    上傳時間: 2026-04-23 14:16:33 (UTC+8)
    出版者: Hindawi Limited;London: John Wiley & Sons, Inc
    摘要: 摘要: The reputation system is used to display the reputation of entities based on the ratings or appraisals given by users who have used or purchased those entities. Web service providers supply various reputation systems for their users. However, these promising reputation systems face some challenges. First, even though different persons have different preference and values (values are a person's beliefs about what things are good or bad), these systems still give the same rating to the same entity for all users. Second, they may be greatly influenced by Sybil attacks. In this paper, we propose a reputation system, called values‐based reputation system (VRS), to solve the aforementioned problems. VRS customizes the rating of an entity for each user based on the ratings of the entities provided by other users who have similar values or preference to the user. Experimental results on 256 users show that compared with existing reputation systems VRS is more robust to Sybil attacks and provides a recommendation rating that is closer to the rating given by the user after it used the related entity. Copyright © 2016 John Wiley & Sons, Ltd. The VRS customizes the rating of an entity for each user on the basis of the ratings of the entities provided by other users who have similar values or preference to the user. Experimental results on 256 users show that compared with existing reputation systems VRS is more robust to Sybil attacks and provides a recommendation rating that is closer to the rating given by the user after it used the related entity.
    出版者: London: John Wiley & Sons, Inc
    出版日期: 2016-12
    出處: Security and communication networks, 2016-12, Vol.9 (18), p.6335-6350
    版權: Copyright © 2016 John Wiley & Sons, Ltd.
    識別號: ISSN: 1939-0114
    識別號: EISSN: 1939-0122
    識別號: DOI: 10.1002/sec.1704
    顯示於類別:[資訊工程學系] 期刊論文

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