collaborators

8 papers

cs.LG2026

Adaptive Identification and Modeling of Clinical Pathways with Process Mining

Francesco Vitale, Nicola Mazzocca

Clinical pathways are specialized healthcare plans that model patient treatment procedures. They are developed to provide criteria-based progression and standardize patient treatme…

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…

cs.SE2026

Architecting software monitors for control-flow anomaly detection through large language models and conformance checking

Francesco Vitale, Francesco Flammini, Mauro Caporuscio +1

Context: Ensuring high levels of dependability in modern computer-based systems has become increasingly challenging due to their complexity. Although systems are validated at desig…

cs.LG2026

Network Traffic Analysis with Process Mining: The UPSIDE Case Study

Francesco Vitale, Paolo Palmiero, Massimiliano Rak +1

Online gaming is a popular activity involving the adoption of complex systems and network infrastructures. The relevance of gaming, which generates large amounts of market revenue,…

cs.LG2025

Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems

Francesco Vitale, Nicola Dall'Ora, Sebastiano Gaiardelli +3

Cyber-Physical Systems (CPSs) tightly interconnect digital and physical operations within production environments, enabling real-time monitoring, control, optimization, and autonom…