Ensemble-Learning Framework for Intrusion Detection to Enhance Internet of Things’ Devices Security
The Internet of Things (IoT) comprises a network of interconnected nodes constantly communicating, exchanging, and transferring data over various network protocols. Studies have shown that these protocols pose a severe threat (Cyber-attacks) to the security of data transmitted due to their ease of e...
Main Authors: | Yazeed Alotaibi, Mohammad Ilyas |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/12/5568 |
Similar Items
-
An Ensemble Tree-Based Model for Intrusion Detection in Industrial Internet of Things Networks
by: Joseph Bamidele Awotunde, et al.
Published: (2023-02-01) -
Ensemble averaging deep neural network for botnet detection in heterogeneous Internet of Things devices
by: Aulia Arif Wardana, et al.
Published: (2024-02-01) -
Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
by: Geethapriya Thamilarasu, et al.
Published: (2019-04-01) -
Enhancing Security of Host-Based Intrusion Detection Systems for the Internet of Things
by: M. K. Nallakaruppan, et al.
Published: (2024-01-01) -
Deep learning-based intrusion detection approach for securing industrial Internet of Things
by: Sahar Soliman, et al.
Published: (2023-10-01)