11 citations · 17 across the 8 of their papers we have counts for
9 papers
Anomaly Detection and Localization for the Pantograph-Catenary System
Francesco Vitale, Hangli Ge, Francesco Flammini
Monitoring the Pantograph-Catenary System (PCS) provides insight into the health conditions of the pantograph and the railway infrastructure. Recent industrial solutions trace the…
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…
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…
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,…
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…
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…
Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
Francesco Vitale, Tommaso Zoppi, Francesco Flammini +1
Ensuring the resilience of computer-based railways is increasingly crucial to account for uncertainties and changes due to the growing complexity and criticality of those systems.…
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…
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst +1
The business processes of organizations may deviate from normal control flow due to disruptive anomalies, including unknown, skipped, and wrongly-ordered activities. To identify th…