Towards Developing a Robust Intrusion Detection Model Using Hadoop–Spark and Data Augmentation for IoT Networks

In recent years, anomaly detection and machine learning for intrusion detection systems have been used to detect anomalies on Internet of Things networks. These systems rely on machine and deep learning to improve the detection accuracy. However, the robustness of the model depends on the number of...

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Bibliographic Details
Main Authors: Ricardo Alejandro Manzano Sanchez, Marzia Zaman, Nishith Goel, Kshirasagar Naik, Rohit Joshi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/20/7726