We consider an extensive battery of supervised ML models, including both shallow and deep models, taking as input either pre-computed domain-knowledge based ...

In this paper we train and benchmark different ML models for detection of network attacks in different real network data.

In this paper we train and benchmark different. ML models for detection of network attacks in different real network data. We consider an extensive battery of ...

... "MLSEC -Benchmarking Shallow and Deep Machine Learning Models for Network Security" compares both shallow models and deep learning models where it has ...

MLSEC - Benchmarking Shallow and Deep Machine Learning Models for Network Security. In 2019 IEEE Security and Privacy Workshops (SPW) (pp. 230-235). Casas ...

Shallow security: On the creation of adversarial variants to evade machine learning-based malware detectors. Proceedings of the. 3rd Reversing and Offensive- ...

2020. MLSEC-benchmarking shallow and deep machine learning models for network security. P Casas, G Marín, G Capdehourat, M Korczynski. 2019 IEEE Security and ...

In this paper we devise a novel attacks detection and classification technique based on semi-supervised Machine Learning (ML) algorithms to automatically detect ...

Missing: Benchmarking Shallow Deep Network

“MLSEC - Benchmarking. Shallow and Deep Machine Learning Models for Network Security” compares both shallow models and deep learning models where it has showed ...