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Francesco Vitale
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Digital Twins for Anomaly Detection in the Industrial Internet of Things: Conceptual Architecture and Proof-of-Concept
A De Benedictis, F Flammini, N Mazzocca, A Somma, F Vitale
IEEE Transactions on Industrial Informatics 19 (12), 11553 - 11563, 2023
232023
Using log analytics and process mining to enable self-healing in the Internet of Things
P Singh, M Saman Azari, F Vitale, F Flammini, N Mazzocca, M Caporuscio, ...
Environment Systems and Decisions 42 (2), 234-250, 2022
212022
A Two-Level Fusion Framework for Cyber-Physical Anomaly Detection
S Guarino, F Vitale, F Flammini, L Faramondi, N Mazzocca, R Setola
IEEE Transactions on Industrial Cyber-Physical Systems 2, 1-13, 2023
102023
Evaluating virtualization for fog monitoring of real-time applications in mixed-criticality systems
M Cinque, L De Simone, N Mazzocca, D Ottaviano, F Vitale
Real-Time Systems 59 (4), 534-567, 2023
52023
A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things
F Vitale, F De Vita, N Mazzocca, D Bruneo
Internet of Things 24, 100993, 2023
22023
Process Mining for Digital Twin Development of Industrial Cyber-Physical Systems
F Vitale, S Guarino, F Flammini, L Faramondi, N Mazzocca, R Setola
IEEE Transactions on Industrial Informatics, 2024
12024
Run-Time Anomaly Detection With Process Mining: Methodology and Railway System Compliance Case-Study
F Vitale
Linnaeus University, Faculty of Technology, Department of computer science …, 2021
12021
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
F Vitale, M Pegoraro, WMP van der Aalst, N Mazzocca
Knowledge-Based Systems, 112970, 2025
2025
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