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High Speed and Low Power Architecture for Network Intrusion Detection System

机译:高速低功耗网络入侵检测系统架构

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The tremendous growth in the field of modern communication and network systems places demands on the security. As the network complexity grows, the need for the automated detection and timely alert is required to detect the abnormal activities in the network. To diagnose the system against the malicious signatures, a high speed Network Intrusion Detection System is required against the attacks. In the network security applications, Bloom Filters are the key building block. The packets from the high speed link can be easily processed by Bloom Filter using state-of-art hardware based systems. As Bloom Filter and its variant Counting Bloom Filter suffer from False Positive Rate, Multi Hash Counting Bloom Filter architecture is proposed. The proposed work, constitute parallel signature detection improves the False Positive Rate, but the throughput and hardware complexity suffer. To resolve this, a Multi-Level Ranking Scheme is introduced which deduces the 13% -16% of the power and increases the throughput to 23% - 30%. This work is best suited for signature detection in high speed network.
机译:现代通信和网络系统领域的巨大发展对安全性提出了要求。随着网络复杂性的增长,需要自动检测和及时警报以检测网络中的异常活动。为了针对恶意签名诊断系统,需要针对攻击的高速网络入侵检测系统。在网络安全应用程序中,布隆过滤器是关键构建块。使用基于硬件的最新系统,Bloom Filter可以轻松处理来自高速链路的数据包。针对布隆过滤器及其变种计数布隆过滤器遭受误报率的问题,提出了多哈希计数布隆过滤器架构。拟议的工作,构成并行签名检测提高了误报率,但吞吐量和硬件复杂性受到影响。为了解决这个问题,引入了一种多级排名方案,该方案可以推断出13%-16%的功率并将吞吐量提高到23%-30%。这项工作最适合用于高速网络中的签名检测。

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