output
20172023
most citedEntanglement: Cybercrime Connections of an Internet Marketing Forum Population

9 citations

5 papers

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.CY2022★ 9 cited

Entanglement: Cybercrime Connections of an Internet Marketing Forum Population

Masarah Paquet-Clouston, Serge-Olivier Paquette, Sebastián García +1

Many activities related to cybercrime operations do not require much secrecy, such as developing websites or translating texts. This research provides indications that many users o…

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,…

cs.CR2017

Discriminative models for multi-instance problems with tree-structure

Tomas Pevny, Petr Somol

Modeling network traffic is gaining importance in order to counter modern threats of ever increasing sophistication. It is though surprisingly difficult and costly to construct rel…