A Real-Time Hardware Intrusion Detection System and a Classifying Features Algorithm

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-07-28 DOI:10.1080/19361610.2022.2103363
T. Sobh
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引用次数: 0

Abstract

Abstract Nowadays, everybody needs to secure his/her activities. Existing levels of cyber-criminals need technology for detecting malicious activity. This work proposes a real-time Hardware IDS implemented on FPGA and an algorithm for classifying features from network traffic through the network interface card (NIC). It minimizes search time for extracting statistical features from connection records stored in connection queues to memory references. Therefore, it can detect most internal and external network attacks. A decision tree classifier is used as an inference engine and gives a high detection rate of 99.93%.
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一种实时硬件入侵检测系统及分类特征算法
摘要如今,每个人都需要保护自己的活动。现有级别的网络罪犯需要检测恶意活动的技术。本文提出了一种在FPGA上实现的实时硬件入侵检测系统,以及一种通过网络接口卡(NIC)对网络流量特征进行分类的算法。它最大限度地减少了从存储在连接队列中的连接记录中提取统计特征到内存引用的搜索时间。因此,它可以检测大多数内部和外部网络攻击。使用决策树分类器作为推理引擎,给出了99.93%的高检测率。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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