Anomaly Detection Model in Network Security Situational Awareness Based on Machine Learning: Limitation, Techniques, and Future Trends

Anomaly Detection Model in Network Security Situational Awareness Based on Machine Learning: Limitation, Techniques, and Future Trends

This study focuses on the anomaly detection problem in Network Security Situational Awareness (NSSA). We systematically review traditional approaches and recent advancements based on Machine Learning (ML) and Deep Learning (DL), and assess the application status of various anomaly detection models w...

Full description

Saved in:
Bibliographic Details
Main Authors: Li Zhen, Nazhatul Hafizah Kamarudin, Ven Jyn Kok, Faizan Qamar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Anomaly detection
autoencoder
deep learning
federated learning
generative adversarial networks (GAN)
interpretability enhancement
Online Access:https://ieeexplore.ieee.org/document/11082123/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11082123/

Similar Items