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基于Snort系统的局域网P2P流量识别系统

A LAN P2P flow identification system based on Snort
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摘要 针对当前P2P流量消耗大量带宽,降低接入网络性能的问题,采用规则匹配的方法,借助入侵检测系统Snort的链表结构,设计了一种局域网P2P流量识别系统,该系统综合使用端口识别和特征匹配两种传统方法进行检测,并采用一种动态规则匹配机制,增加选项索引链表,对规则匹配的次序进行动态调整,从而提高规则匹配的速度。实验结果表明该系统可迅速发现并准确提示不同P2P流量。 Aiming at the high bandwidth assumption of P2P (peer to peer) flow, a LAN P2P flow identification system is designed based on Rule-matching and chain structure of IDS Snort. Two main traditional methods, port identification and feature matching are synthetically used in this system. In order to increase the rule- matching speed effectively, a dynamic mechanism is applied. By a chain of the option index, the sequence of rule-matching is adjusted dynamically. The experimental results indicate that this system can rapidly discover and further accurately alarm the different P2P flow.
出处 《电子设计工程》 2011年第20期58-60,67,共4页 Electronic Design Engineering
基金 国家自然科学基金(61040005) 中国博士后科学基金面上资助项目(20110491638) 陕西省自然科学基金(2011JQ8036)
关键词 流量识别 P2P SNORT 链表结构 规则 flow identification peer to peer (P2P) Snort chain structure rule
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