| 一种基于声誉的不良网页协作检测机制 |
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| 引用本文： | 李清华,徐明伟.一种基于声誉的不良网页协作检测机制[J].微计算机应用,2007,28(12):1250-1255. |
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| 作者姓名： | 李清华 徐明伟 |
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| 作者单位： | 清华大学计算机科学与技术系,北京,100084 |
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| 基金项目： | 国家自然科学基金;教育部科学技术研究重点项目;教育部跨世纪优秀人才培养计划 |
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| 摘 要： | 大量不良网页的出现威胁了互联网安全。为了检测不良网页，提出了一种基于声誉的协作检测机制，WebShield。用户对网页评分，服务器汇聚用户评分得到网页的综合评分，并依此检测不良网页。设计了一种基于贡献的声誉模型，通过用户声誉加强评分汇聚的准确性和鲁棒性。模拟表明，WebShield对不良网页的检测效率较高、对恶意用户的抵抗性较好。
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| 关 键 词： | Web安全 不良网 页协作检测 声誉 |
| 收稿时间： | 2007-05-29 |
| 修稿时间： | 2007-06-20 |
A Collaborative, Reputation-Enhanced Mechanism for Malicious Web Page Detection |
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| LI Qinghua,XU Mingwei.A Collaborative, Reputation-Enhanced Mechanism for Malicious Web Page Detection[J].Microcomputer Applications,2007,28(12):1250-1255. |
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| Authors: | LI Qinghua XU Mingwei |
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| Abstract: | The emerging of a large amount of malicious web pages has made web browsing a big threat to Internet security. This paper puts forward a mechanism named WebShield to effectively detect malicious web pages through user collaborations. In WebShield, users rate pages, and their ratings are aggregated. A contribution - based reputation model is proposed to enhance the robustness of rating aggregation. Simulations show that WebShield is high in detecting accuracy and tolerant to malicious users. |
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| Keywords: | web security malicious web page collaborative detection reputation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
