Generating Datasets for Anomaly-Based Intrusion Detection Systems in IoT and Industrial IoT Networks
Over the past few years, we have witnessed the emergence of Internet of Things (IoT) and Industrial IoT networks that bring significant benefits to citizens, society, and industry. However, their heterogeneous and resource-constrained nature makes them vulnerable to a wide range of threats. Therefor...
Main Authors: | Ismael Essop, José C. Ribeiro, Maria Papaioannou, Georgios Zachos, Georgios Mantas, Jonathan Rodriguez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/4/1528 |
Similar Items
-
Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors
by: Laura Vigoya, et al.
Published: (2020-07-01) -
A long short-term memory based approach for detecting cyber attacks in IoT using CIC-IoT2023 dataset
by: Akinul Islam Jony, et al.
Published: (2024-01-01) -
Dragon_Pi: IoT Side-Channel Power Data Intrusion Detection Dataset and Unsupervised Convolutional Autoencoder for Intrusion Detection
by: Dominic Lightbody, et al.
Published: (2024-03-01) -
Enterprise Security for the Internet of Things (IoT): Lightweight Bootstrapping with EAP-NOOB
by: Aleksi Peltonen, et al.
Published: (2020-10-01) -
Towards an Explainable Universal Feature Set for IoT Intrusion Detection
by: Mohammed M. Alani, et al.
Published: (2022-07-01)