Generating Synthetic Dataset for ML-Based IDS Using CTGAN and Feature Selection to Protect Smart IoT Environments

Generating Synthetic Dataset for ML-Based IDS Using CTGAN and Feature Selection to Protect Smart IoT Environments

Networks within the Internet of Things (IoT) have some of the most targeted devices due to their lightweight design and the sensitive data exchanged through smart city networks. One way to protect a system from an attack is to use machine learning (ML)-based intrusion detection systems (IDSs), signi...

Full description

Bibliographic Details
Main Authors: Saleh Alabdulwahab, Young-Tak Kim, Aria Seo, Yunsik Son
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
intrusion detection system
machine learning
information security
IoT
CTGAN
advanced persistent threat
Online Access:https://www.mdpi.com/2076-3417/13/19/10951

Internet

https://www.mdpi.com/2076-3417/13/19/10951

Similar Items