Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration

no code implementations • 2 Dec 2021 • Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro

Following R-NIDS, in this work we propose to build two well-known ML models (a linear and a non-linear one) based on the information of three of the most common datasets in the literature for NIDS evaluation, those integrated in UNK21.

Network Intrusion Detection

Virtual Savant: learning for optimization

no code implementations • NeurIPS Workshop LMCA 2020 • Renzo Massobrio, Sergio Nesmachnow, Bernabé Dorronsoro

This article describes Virtual Savant, a novel paradigm that applies machine learning to derive knowledge from previously-solved optimization problem instances in order to solve new ones in a massively-parallel fashion.

BIG-bench Machine Learning Combinatorial Optimization