网络安全大数据可视化:BETH数据集

Hamza Aytaç Doğanay, Abdullah Orman, Murat Dener
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引用次数: 0

摘要

本研究浏览了网络安全大数据可视化的相关文献,并对样本数据集进行了有目的的数据可视化研究。将所进行的可视化研究与文献中的可视化研究进行比较,可以发现,如果采用本研究提出的可视化标准,用户(人)可以更容易地阅读图形,这将是一种方便的攻击检测方法。研究中的标准是基于使用BETH等当前数据集和使用主成分分析(PCA)等方法。
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Big Data Visualization for Cyber Security: BETH Dataset
In this study, the literature on big data visualization for cyber security purposes was scanned and a purposeful data visualization study was carried out on a sample data set. When the visualization study carried out is compared with its counterpart in the literature, it reveals that if the visualization with the criteria suggested in this study is applied, the user (human) can read the graphics much more easily and it will be a facilitating way for attack detection. The criteria in the study are based on the use of current data sets such as BETH and the use of methods such as Principle Component Analysis (PCA).
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