Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids
Author:
Affiliation:
1. IMDEA Networks Institute, Spain and Universidad Carlos III de Madrid, Spain
2. IMDEA Networks Institute, Spain
Funder
CHIST-ERA
Smart Networks and Services Joint Undertaking (SNS JU)
Agencia Estatal de Investigación
HORIZON EUROPE Framework Programme
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3632775.3661995
Reference47 articles.
1. Aristide Tanyi-Jong Akem Beyza Bütün Michele Gucciardo and Marco Fiore. 2022. Henna: hierarchical machine learning inference in programmable switches. In NativeNI 2022 (Rome Italy). https://doi.org/10.1145/3565009.3569520
2. Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo, and Marco Fiore. 2024. Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches. In IEEE INFOCOM 2024. https://shorturl.at/djqt4
3. Aristide Tanyi-Jong Akem, Guillaume Fraysse, and Marco Fiore. 2024. Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning. In IEEE/IFIP NOMS 2024. 1–9. https://hdl.handle.net/20.500.12761/1791
4. Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests
5. Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
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