Francesco Vitale
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The paper proposes a dynamic risk assessment framework that combines Bayesian Attack Graphs (BAGs) with process mining to continuously monitor system behavior and update the probability of active vulnerability exploitation.
This paper enhances anomaly-based Intrusion Detection Systems by integrating process mining to provide detailed, process-based explanations and severity ratings for detected network anomalies.
Papers
Dynamic Risk Assessment by Bayesian Attack Graphs and Process Mining
The paper proposes a dynamic risk assessment framework that combines Bayesian Attack Graphs (BAGs) with process mining to continuously monitor system behavior and update the probability of active vuln…