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cs.LG2023★ 5 cited
Benchmark of Data Preprocessing Methods for Imbalanced Classification
Radovan Haluška, Jan Brabec, Tomáš Komárek
Severe class imbalance is one of the main conditions that make machine learning in cybersecurity difficult. A variety of dataset preprocessing methods have been introduced over the…
cs.LG2021★ 7 cited
Decision-forest voting scheme for classification of rare classes in network intrusion detection
Jan Brabec, Lukas Machlica
In this paper, Bayesian based aggregation of decision trees in an ensemble (decision forest) is investigated. The focus is laid on multi-class classification with number of samples…
cs.LG2019★ 4 cited
Joint Detection of Malicious Domains and Infected Clients
Paul Prasse, Rene Knaebel, Lukas Machlica +2
Detection of malware-infected computers and detection of malicious web domains based on their encrypted HTTPS traffic are challenging problems, because only addresses, timestamps,…