TY  - GEN 
AU  - Wasielewska, Katarzyna
AU  - Soukup, Dominik
AU  - Cejka, Tomas
AU  - Camacho Páez, José
PY  - 2022
UR  - https://hdl.handle.net/10481/81204
AB  - Machine learning is recognised as a relevant approach to detect
attacks and other anomalies in network traffic. However, there are
still no suitable network datasets that would enable effective detection.
On the other hand, the preparation of a...
LA  - eng
PB  - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2022, 4th Workshop on Machine Learning for Cybersecurity (MLCS)
KW  - Dataset quality assessment
KW  - Permutation testing
KW  - Network dataset
KW  - Network security
KW  - Attack detection
KW  - Machine learning
KW  - Classification
TI  - Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA
ER  -