基于优先级的高速智能规则检测

S. Sachidananda, M. Shah, S. Gopalan, S. Varadarajan
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引用次数: 1

摘要

Snort规则检查是网络入侵检测系统(NIDS)最流行的形式之一。最近在字符串匹配方面的工作主要集中在将字符串匹配卸载到硬件实现上,以实现时间和空间效率。然而,任何形式的实现都必须保持一个阈值性能,以便与数据包数据速率保持一致。当试图维持这个阈值时,控制单元被迫丢弃一些数据包或一些规则。在这项工作中,我们提出了一种数据包优先级技术,该技术对数据包进行优先级排序,以便在阈值限制内检测到潜在恶意数据包的概率很高。我们还提出了一种新颖的智能字符串排列(ISA),能够以智能和高效的方式完成数据包扫描
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Priority-based high-speed intelligent rule-checking
Snort rule-checking is one of the most popular forms of network intrusion detection systems (NIDS). Recent work in string matching has focused on offloading string matching to hardware realizations in order to achieve time and space efficiencies. However, any form of implementation would have to maintain a threshold performance in order to keep with the packet data rate. While trying to maintain this threshold, control-unit is forced to either drop some packets or some rules. In this work, we present a packet priority technique that prioritizes the packets such that there is a high probability that the potentially malicious packets are detected within the threshold limit. We also present a novel intelligent string arrangement (ISA) that enables complete packet scanning in a smart and time efficient manner
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