入侵检测系统中碎片和乱序包流的多模式匹配技术

Manish Kumar, M. Hanumanthappa
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引用次数: 0

摘要

本文讨论了基于确定性有限状态自动机(DFA)的入侵检测系统。该系统设计用于处理碎片化和乱序的数据包。碎片化是指将IP数据报分解成更小的数据包,以便在不同类型的网络媒体上传输,然后在另一端重新组装它们的过程。在大多数情况下,根据保护网络的实际安全设备,通常有多种碎片技术和数据包大小组合能够挤压和利用网络上的保护设备。提出了一种高效的多模式正则表达式匹配算法,该算法可以在不需要完全重构流的情况下保持小状态。该方法提高了入侵检测系统对分片和乱序报文攻击的检测性能。该技术有助于实现高吞吐量,同时限制了分片数据包入侵时的内存使用和内存带宽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi pattern matching technique on fragmented and out-of-order packet streams for intrusion detection system
In this paper we are discussing about Intrusion Detection System based on Deterministic Finite-State Automata (DFA). The proposed system is designed to deal the fragmented and out-of-order packets. Fragmentation is the term given to the process of breaking down an IP datagram into smaller packets to be transmitted over different types of network media and then reassembling them at the other end. In most cases, depending upon the actual security device defending the network, there are typically multiple fragmentation techniques and packet size combinations capable of squeezing and exploiting protection device on a network. We present an efficient multi pattern algorithm for regular expression matching on streams with fragmented and out of order data, while maintaining a small state and without complete stream reconstruction. It improves the performance of Intrusion Detection System for detecting the fragmented and Out-of-Order packet attack. The proposed technique helps to achieve high throughput while limiting both memory-usage and memory-bandwidth on fragmented data packets intrusion.
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