A Novel Approach for Detection of Cyber Attacks in MQTT-Based IIoT Systems Using Machine Learning Techniques
The Internet of Things (IoT) and the Industrial Internet of Things (IIoT) have grown significantly in the last decade, underlining the increasing need for effective, secure, and reliable data communication protocols. The widely accepted Message Queuing Telemetry Transport (MQTT) protocol, with its s...
Saved in:
Main Author: | Serkan Gönen |
---|---|
Format: | Article |
Language: | English |
Published: |
Çanakkale Onsekiz Mart University
2024-12-01
|
Series: | Journal of Advanced Research in Natural and Applied Sciences |
Subjects: | |
Online Access: | https://dergipark.org.tr/en/download/article-file/4256401 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Threat of Tomorrow: Impacts of Artificial Intelligence-Enhanced Cyber-attacks on International Relations
by: Esra Merve Çalışkan
Published: (2024-12-01) -
Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
by: Fatima Alwahedi, et al.
Published: (2024-01-01) -
A novel cyber threat intelligence platform for evaluating the risk associated with smart agriculture
by: Navod Neranjan Thilakarathne, et al.
Published: (2025-01-01) -
Deep learning for cyber threat detection in IoT networks: A review
by: Alyazia Aldhaheri, et al.
Published: (2024-01-01) -
Cyber Attacks on Commercial Drones: A Review
by: Bruno Branco, et al.
Published: (2025-01-01)