使用Web访问日志数据进行网站审计

2009 Seventh Annual Communication Networks and Services Research Conference Pub Date : 2009-05-11 DOI:10.1109/CNSR.2009.24

Si He, Nabil Balecel, H. Hamam, Y. Bouslimani

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引用次数: 2

摘要

本文提出了一种利用访问日志数据对网站进行审计的方法。对网站审计进行了研究:(1)提出了一种将标准模糊c均值与人工鱼群算法相结合的模糊聚类算法;(2)提出了一种新的用户会话相似性度量指标;(3)对新方法的实施进行了实验。结果令人鼓舞，显示了模糊聚类方法在协助网站审计方面的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Web Site Auditing Using Web Access Log Data

This paper applies a method to use the access log data to audit websites. It studies website auditing by (1) proposing a new fuzzy clustering algorithm that combines standard Fuzzy C-Means and the Artificial Fish Swarm Algorithm; (2) presenting a new measurement index for similarities between user sessions; and (3) providing an experiment on the execution of this new method. The results are encouraging and show the potential of our fuzzy clustering approach to assist in auditing web site.

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来源期刊

2009 Seventh Annual Communication Networks and Services Research Conference

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