Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights
The number of connected IoT devices is increasing significantly due to their many benefits, including automation, improved efficiency and quality of life, and reducing waste. However, these devices have several vulnerabilities that have led to the rapid growth in the number of attacks. Therefore, se...
Saved in:
| Main Authors: | Filippo Genuario, Giuseppe Santoro, Michele Giliberti, Stefania Bello, Elvira Zazzera, Donato Impedovo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/15/11/741 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks
by: Urslla Uchechi Izuazu, et al.
Published: (2025-02-01) -
Fast Algorithm for Cyber-Attack Estimation and Attack Path Extraction Using Attack Graphs with AND/OR Nodes
by: Eugene Levner, et al.
Published: (2024-11-01) -
Method to generate cyber deception traffic based on adversarial sample
by: Yongjin HU, et al.
Published: (2020-09-01) -
Fast anomalous traffic detection system for secure vehicular communications
by: Qasem Abu Al-Haija, et al.
Published: (2024-12-01) -
The Threat of Tomorrow: Impacts of Artificial Intelligence-Enhanced Cyber-attacks on International Relations
by: Esra Merve Çalışkan
Published: (2024-12-01)