Engineering the application of machine learning in an IDS based on IoT traffic flow
Internet of Things (IoT) devices are now widely used, enabling intelligent services that, in association with new communication technologies like the 5G and broadband internet, boost smart-city environments. Despite their limited resources, IoT devices collect and share large amounts of data and are...
Main Authors: | Nuno Prazeres, Rogério Luís de C. Costa, Leonel Santos, Carlos Rabadão |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-02-01
|
Series: | Intelligent Systems with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305323000145 |
Similar Items
-
Attack-Aware IoT Network Traffic Routing Leveraging Ensemble Learning
by: Qasem Abu Al-Haija, et al.
Published: (2021-12-01) -
An Intrusion Detection and Classification System for IoT Traffic with Improved Data Engineering
by: Abdulaziz A. Alsulami, et al.
Published: (2022-12-01) -
A Two-Level Flow-Based Anomalous Activity Detection System for IoT Networks
by: Imtiaz Ullah, et al.
Published: (2020-03-01) -
Better Safe Than Never: A Survey on Adversarial Machine Learning Applications towards IoT Environment
by: Sarah Alkadi, et al.
Published: (2023-05-01) -
Optimal Deep-Learning-Based Cyberattack Detection in a Blockchain-Assisted IoT Environment
by: Fatmah Y. Assiri, et al.
Published: (2023-09-01)