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cs.CR2026
Dynamic Risk Assessment by Bayesian Attack Graphs and Process Mining
Francesco Vitale, Simone Guarino, Stefano Perone +2
While attack graphs are useful for identifying major cybersecurity threats affecting a system, they do not provide operational support for determining the likelihood of having a kn…
cs.CR2026
Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
Francesco Vitale, Francesco Grimaldi, Massimiliano Rak +1
Anomaly-based Intrusion Detection Systems (IDSs) ensure protection against malicious attacks on networked systems. While deep learning-based IDSs achieve effective performance, the…