7 citations · 23 across the 4 of their papers we have counts for
5 papers
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…
On Model Evaluation under Non-constant Class Imbalance
Jan Brabec, Tomáš Komárek, Vojtěch Franc +1
Many real-world classification problems are significantly class-imbalanced to detriment of the class of interest. The standard set of proper evaluation metrics is well-known but th…
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,…
Bad practices in evaluation methodology relevant to class-imbalanced problems
Jan Brabec, Lukas Machlica
For research to go in the right direction, it is essential to be able to compare and quantify performance of different algorithms focused on the same problem. Choosing a suitable e…
Learning detectors of malicious web requests for intrusion detection in network traffic
Lukas Machlica, Karel Bartos, Michal Sofka
This paper proposes a generic classification system designed to detect security threats based on the behavior of malware samples. The system relies on statistical features computed…