Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks

Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks

Anomaly detection is one of the biggest issues of security in the Industrial Internet of Things (IIoT) due to the increase in cyber attack dangers for distributed devices and critical infrastructure networks. To face these challenges, the Intrusion Detection System (IDS) is suggested as a robust mec...

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Bibliographic Details
Main Authors: Hafsa Benaddi, Mohammed Jouhari, Khalil Ibrahimi, Jalel Ben Othman, El Mehdi Amhoud
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
Industrial Internet of Things
anomaly detection
DS2OS
Generative Adversarial Network
Distributional Reinforcement Learning
adversarial machine learning
Online Access:https://www.mdpi.com/1424-8220/22/21/8085

Internet

https://www.mdpi.com/1424-8220/22/21/8085

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