| 基于数据融合的校园网入侵防御系统的研究 |
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| 引用本文： | 刘文芝,刘昭斌.基于数据融合的校园网入侵防御系统的研究[J].兰州石化职业技术学院学报,2007,7(1):37-39. |
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| 作者姓名： | 刘文芝 刘昭斌 |
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| 作者单位： | 苏州市职业大学,计算机工程系,江苏,苏州,215104 |
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| 摘 要： | 随着校园网的迅速发展和网络环境的日趋复杂,入侵手段呈现出多样性和灵活性,这对校园网的安全系统提出了更高要求.通过分析现有的单一网络安全技术的不足,提出了一种基于数据融合和数据挖掘入侵防御模型,以解决校园网安全问题和传统IPS的漏报以及因误报而造成的新的DOS攻击等问题.
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| 关 键 词： | 入侵防御 数据融合 数据挖掘 |
| 文章编号： | 1671-4067（2007）01-0037-03 |
| 收稿时间： | 2007-01-16 |
| 修稿时间： | 2007年1月16日 |
A Research of Intrusion Prevention System based on Data Fusion on Campus Network |
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| LIU Wen-zhi,LIU Zhao-bin.A Research of Intrusion Prevention System based on Data Fusion on Campus Network[J].Journal of Lanzhou Petrochemical Vocational College of Technology,2007,7(1):37-39. |
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| Authors: | LIU Wen-zhi LIU Zhao-bin |
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| Abstract: | With the rapid development and the gradually complicated of Campus network, intrusion tools are more diversity and flexible. So the intrusion prevention system of Campus Network must be effective, adaptive, and easy to extend. By analyzing the now available unitary network safety technology deficiency, a Intrusion Prevention System model based on data fusion and data mining is proposed , used for improving security defend level of campus network and solving failing to report the problem of attacking with new Dos incurred because of wrong report etc of traditional IPS. |
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| Keywords: | intrusion prevention data fusion data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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