An NIDS for Known and Zero-Day Anomalies
Author:
Affiliation:
1. *Advanced Network Architectures Lab Vilanova,Spain,08800
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10108077/10108104/10108319.pdf?arnumber=10108319
Reference16 articles.
1. A Machine Learning IDS for Known and Unknown Anomalies;aguilo--gost;2022 International Workshop on Design of Reliable Communication Networks (DRCN),0
2. mlr3: A modern object-oriented machine learning framework in R
3. IoT Botnet Detection Using Various One-Class Classifiers
4. A two-stage flow-based intrusion detection model for next-generation networks
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