Application of machine learning methods for automated detection of network intrusions
Objective. Development of automated network attack detection systems capable of adapting to the ever-changing nature of network attacks and new types of threats. Such systems should be based on machine learning algorithms and models that are able to identify complex dependencies between data in the...
Saved in:
| Main Authors: | M. V. Babicheva, I. A. Tretyakov |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Dagestan State Technical University
2023-05-01
|
| Series: | Вестник Дагестанского государственного технического университета: Технические науки |
| Subjects: | |
| Online Access: | https://vestnik.dgtu.ru/jour/article/view/1216 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing IoT Network Security Through Deep Learning-Based Intrusion Detection
by: MOHAMMED FAWWAZ ALI MOHAMMED FAWWAZ ALI
Published: (2025-06-01) -
Hybrid Convolutional Neural Network-Based Intrusion Detection System for Secure IoT Networks
by: Sami Qawasmeh, et al.
Published: (2025-08-01) -
Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks
by: C. Christy, et al.
Published: (2025-07-01) -
Network-based intrusion detection using deep learning technique
by: Muhammad Farhan, et al.
Published: (2025-07-01) -
Analysis of Basic Compounds in a Network Intrusion Detection System using NSL-KDD Data
by: Naglaa Ibrahim, et al.
Published: (2013-03-01)