Big data technology for computer intrusion detection

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-01-01 DOI:10.1515/comp-2022-0267

Ying Chen

引用次数: 0

Abstract

Abstract In order to improve the ability of computer network intrusion detection, the big data technology for computer intrusion detection was studied. This research uses big data technology to build a network intrusion detection model, using clustering algorithms, classification algorithms, and association rule algorithms in data mining to automatically identify the attack patterns in the network and quickly learn and extract the characteristics of network attacks. The experimental results show that the recognition effect of the classification algorithm is obviously better than that of the clustering algorithm and the association rule. With the increase in the proportion of abnormal commands, the accuracy rate can still be maintained at 90%. As a compromise between the classification algorithm and the clustering algorithm, the accuracy rate of the association rule algorithm is basically maintained at more than 75%. It is proved that the big data technology oriented to computer intrusion detection can effectively improve the detection ability of computer network intrusion.

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计算机入侵检测的大数据技术

摘要为了提高计算机网络入侵检测的能力，研究了计算机入侵检测的大数据技术。本研究利用大数据技术构建网络入侵检测模型，利用数据挖掘中的聚类算法、分类算法和关联规则算法，自动识别网络中的攻击模式，快速学习和提取网络攻击特征。实验结果表明，分类算法的识别效果明显优于聚类算法和关联规则。随着异常命令比例的增加，准确率仍然可以保持在90%。作为分类算法和聚类算法的折衷，关联规则算法的准确率基本保持在75%以上。实践证明，面向计算机入侵检测的大数据技术可以有效提高计算机网络入侵的检测能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.