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).
📌 3 Key Takeaways
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Objective & Hypothesis: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.
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Key Findings & Data: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.
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Conclusion & Impact: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).
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:BETH · big data visualization · KDD99
Abstract
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).
DOĞANAY, H. A., ORMAN, A., DENER, M. (2022). Big Data Visualization for Cyber Security: BETH Dataset. El-Cezeri, Cilt: 9 - Sayı: 4, 1572–1582. https://ajindex.com/articles/859096
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