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cs.CR2025
Clustering Malware at Scale: A First Full-Benchmark Study
Martin Mocko, Jakub Ševcech, Daniela Chudá
Recent years have shown that malware attacks still happen with high frequency. Malware experts seek to categorize and classify incoming samples to confirm their trustworthiness or…
cs.CR2025
Network Intrusion Datasets: A Survey, Limitations, and Recommendations
Patrik Goldschmidt, Daniela Chudá
Data-driven cyberthreat detection has become a crucial defense technique in modern cybersecurity. Network defense, supported by Network Intrusion Detection Systems (NIDSs), has als…