| 改进的BP神经网络与Snort系统的接入设计 |
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| 引用本文： | 吴体辉,廖述剑. 改进的BP神经网络与Snort系统的接入设计[J]. 机械管理开发, 2011, 0(5): 200+202-200,202 |
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| 作者姓名： | 吴体辉 廖述剑 |
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| 作者单位： | 太原理工大学信息工程学院,山西太原,030024 |
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| 摘 要： | Snort是一个轻量级的入侵检测系统（包含4个模块：解码模块,预处理模块,检测分析模块,输出插件）。文中针对BP神经网络的不足,对其算法进行了改进,并通过Snort系统的预处理插件,实现BP神经网络的接入;接入后用于对网络数据包的异常检测,实现误用与异常相融合的Snort系统。
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| 关 键 词： | 入侵检测 神经网络 异常检测 |
Improved BP Neural Network and Access Design of Snort System |
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| WU Ti-hui,LIAO Shu-jian. Improved BP Neural Network and Access Design of Snort System[J]. Mechanical Management and Development, 2011, 0(5): 200+202-200,202 |
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| Authors: | WU Ti-hui LIAO Shu-jian |
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| Affiliation: | WU Ti-hui,LIAO Shu-jian(College of Information Engineering,Taiyuan University of Technology,Taiyuan 030024,China) |
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| Abstract: | Snort is a lightweight intrusion detection system,containing four modules:decoding module,preprocessing module,test analysis module,output plug-in.In this paper,pointing to the lack of BP neural network,improved their algorithm,the pretreatment snort plug through the access network for packet after the anomaly detection,for anomaly detection of network packets after access,to achieve the integration of misuse and anomaly of snort system. |
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| Keywords: | intrusion detection neural network anomaly detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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