Výsledky vyhledávání - "• Computing methodologies → Machine learning Intrusion Detection Systems"

SECL: A Zero-Day Attack Detector and Classifier based on Contrastive Learning and Strong Regularization

Autoři: Duraz, Robin Espes, David Francq, Julien a další

Přispěvatelé: Duraz, Robin Espes, David Francq, Julien a další

Zdroj: Proceedings of the 19th International Conference on Availability, Reliability and Security. :1-12

Témata: Open world learning, Contrastive Learning, Semi-Supervised Learning, Zero-Day Classification, [INFO] Computer Science [cs], Security and privacy → Intrusion detection systems, • Computing methodologies → Machine learning Intrusion Detection Systems, Zero-Day Detection

Popis souboru: application/pdf

Přístupová URL adresa: https://imt-atlantique.hal.science/hal-04792982v1
https://doi.org/10.1145/3664476.3664505
https://imt-atlantique.hal.science/hal-04792982v1/document