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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Detalles Bibliográficos
Autores principales: Benaddi, Hafsa, Jouhari, Mohammed, Ibrahimi, Khalil, Ben Othman, Jalel, Amhoud, El Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656136/
https://www.ncbi.nlm.nih.gov/pubmed/36365782
http://dx.doi.org/10.3390/s22218085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656136/
https://www.ncbi.nlm.nih.gov/pubmed/36365782
http://dx.doi.org/10.3390/s22218085

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