Autoencoders and AutoML for intrusion detection
Author:
Affiliation:
1. University POLITEHNICA of Bucharest,Faculty of Electronics, Telecommunications and Information,Bucharest,Romania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10193876/10193857/10194229.pdf?arnumber=10194229
Reference27 articles.
1. Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends
2. Survey on Multi-Access Edge Computing for Internet of Things Realization
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1. Autoencoder-Based Network Intrusion Detection on Multiple Datasets;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25
2. Machine Learning-Based Detection of Attacks and Anomalies in Industrial Internet of Things (IIoT) Networks;Lecture Notes in Networks and Systems;2024
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