Big Data Visualization for Cyber Security: BETH Dataset Siber Güvenlik Amaçlı Büyük Veri Görselleştirme: BETH Veri Seti

Doğanay M. A., ORMAN A., DENER M.

El-Cezeri Journal of Science and Engineering, cilt.9, sa.4, ss.1572-1582, 2022 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9 Sayı: 4
  • Basım Tarihi: 2022
  • Doi Numarası: 10.31202/ecjse.1209586
  • Dergi Adı: El-Cezeri Journal of Science and Engineering
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.1572-1582
  • Anahtar Kelimeler: BETH, big data visualization, cyber security, KDD99, MDS, PCA
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, a data visualization application was made on a sample data set by scanning the literature on big data visualization for cyber security purposes. The visualization study carried out was practically compared with a similar study in the literature. As a result of the comparison, it has been revealed that if the visualization is applied using the criteria presented in this study, the visuals that will be created can be read more easily by the user (human) and that visualization can be made that will facilitate the detection of cyber attacks with this feature. In the study, Principle Component Analysis (PCA) method was applied on the BETH data set, which is a up-to-date cyber attack data set.