arrow
Return

Collaborative anomaly detection in log data: Comparative analysis and evaluation framework

delete2025-08-24
delete0
delete
OA
AI
A
A. Gómez
M
Max Landauer
M
Markus Wurzenberger
F
Florian Skopik
E
Edgar Weippl
DOI:10.1016/j.future.2025.108090delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
• An overview of the present state of Log Anomaly CIDS. • A classification of various Log Anomaly CIDS. • Presentation of an open-source platform for assessing different Log Anomaly CIDS.
Keywords:
Machine learning
CIDS
IDS
Anomaly detection
AI
Log analysis
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

F
Future Generation Computer Systems
IF:
0
Papers:
642
Citations:
0

Organization

U
University of Vienna
Scholars:
1.7W
Papers: 1.6W
Citations: 40