1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2024★ 1 cited
Counteracting Concept Drift by Learning with Future Malware Predictions
Branislav Bosansky, Lada Hospodkova, Michal Najman +3
The accuracy of deployed malware-detection classifiers degrades over time due to changes in data distributions and increasing discrepancies between training and testing data. This…
cs.CR2023★ 1 cited
Attacker Profiling Through Analysis of Attack Patterns in Geographically Distributed Honeypots
Veronica Valeros, Maria Rigaki, Sebastian Garcia
Honeypots are a well-known and widely used technology in the cybersecurity community, where it is assumed that placing honeypots in different geographical locations provides better…