Intrusion Detection Systems for Industrial Internet of Things: A Survey
Author:
Affiliation:
1. Guelma University B.P. 401,Labstic Laboratory,Department of Computer Science,Algeria,24000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9715155/9715176/09715177.pdf?arnumber=9715177
Reference36 articles.
1. Federated learning for malware detection in iot devices;rey;arXiv preprint arXiv 2104 09994,2021
2. Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis
3. An Efficient Intrusion Detection Method Based on Dynamic Autoencoder
4. Variational LSTM Enhanced Anomaly Detection for Industrial Big Data
5. Network Intrusion Detection on the IoT Edge Using Adversarial Autoencoders
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