A User and Entity Behavior Analysis for SIEM Systems: Preprocessing of The Computer Emergency and Response Team Dataset

Görmez, YASİN; Arslan, HALİL; Işık, YUNUS; Dadaş, İbrahim

doi:10.55195/jscai.1213782

A User and Entity Behavior Analysis for SIEM Systems: Preprocessing of The Computer Emergency and Response Team Dataset

Atıf İçin Kopyala

Görmez Y., Arslan H., Işık Y. E., Dadaş İ. E.

Journal of Soft Computing and Artificial Intelligence, cilt.4, sa.1, ss.1-6, 2023 (Hakemli Dergi)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 4 Sayı: 1
Basım Tarihi: 2023
Doi Numarası: 10.55195/jscai.1213782
Dergi Adı: Journal of Soft Computing and Artificial Intelligence
Derginin Tarandığı İndeksler: Index Copernicus, Asos İndeks
Sayfa Sayıları: ss.1-6
Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

A lot of work has been done to prevent attacks from external sources and a great deal of success has been achieved. However, studies to detect internal attacks aren’t sufficient today. One of the most important studies for the detection of insider attacks is User and Entity Behavior Analysis (UEBA). In this letter, UEBA studies in the literature were reviewed and The Computer Emergency and Response Team Dataset was analyzed (CERT). For this purpose, preprocessing and feature extraction steps were applied on CERT datasets. Several log files combined with respect to user and for each user the number of activities in the specified time interval were obtained. The python code of these preprocessing and feature extraction steps were shared as open source in GitHub platform. In the final phase, future analysis was described and UEBA system planned to be designed was explained.