A User and Entity Behavior Analysis for SIEM Systems: Preprocessing of The Computer Emergency and Response Team Dataset
Öz
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.
Anahtar Kelimeler
User and Entity Behavior Analysis Preprocessing Classification CERT Security Information and Event Management Preprocessing Classification CERT Security Information and Event Management
Destekleyen Kurum
Detaysoft
Teşekkür
This study is an output of studies conducted in Detaysoft research and development center. We appreciate their support
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Yapay Zeka, Bilgisayar Yazılımı |
| Bölüm | Research Articles |
| Yazarlar | |
| Erken Görünüm Tarihi | 30 Haziran 2023 |
| Yayımlanma Tarihi | 25 Haziran 2023 |
| Gönderilme Tarihi | 2 Aralık 2022 |
| Yayımlandığı Sayı | Yıl 2023 Cilt: 4 Sayı: 1 |
Kaynak Göster
Cited By
This work is licensed under a Creative Commons Attribution 4.0 International License.