Statistical and density-based clustering techniques in the context of anomaly detection in network systems: A comparative analysis
In the modern world, the volume of data stored electronically and transmitted over networks continues to grow rapidly. This trend increases the demand for the development of effective methods to protect information transmitted over networks as network traffic. Anomaly detection plays a crucial role...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Peoples’ Friendship University of Russia (RUDN University)
2025-06-01
|
| Series: | Discrete and Continuous Models and Applied Computational Science |
| Subjects: | |
| Online Access: | https://journals.rudn.ru/miph/article/viewFile/44731/24875 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|