Combining K-Means and XGBoost Models for Anomaly Detection Using Log Datasets

Combining K-Means and XGBoost Models for Anomaly Detection Using Log Datasets

Computing and networking systems traditionally record their activity in log files, which have been used for multiple purposes, such as troubleshooting, accounting, post-incident analysis of security breaches, capacity planning and anomaly detection. In earlier systems those log files were processed...

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Bibliographic Details
Main Authors: João Henriques, Filipe Caldeira, Tiago Cruz, Paulo Simões
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Electronics
Subjects:
anomaly detection
clustering
k-means
gradient tree boosting
XGBoost
Online Access:https://www.mdpi.com/2079-9292/9/7/1164

Internet

https://www.mdpi.com/2079-9292/9/7/1164

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