Zilverling

S.M. Nicoletti MSc (Stefano)

Onderzoeker
EEMCS-CS-FMT
Zilverling 3126
s.m.nicoletti@utwente.nl
+31534891240
Visitekaartje

Expertises

  • Computer Science

    • Attack
    • Security Properties
    • Booleans
    • Security Survey
    • Ontology
    • Malicious Attack
    • Survey
    • Threat

Organisaties

Publicaties

2025

An ontological lens on attack trees: Toward adequacy and interoperability (2025)[Working paper › Preprint]. ArXiv.org. Oliveira, Í., Nicoletti, S. M., Engelberg, G., Fumagalli, M., Klein, D. & Guizzardi, G.https://doi.org/10.48550/arXiv.2506.23841BayesL: Towards a Logical Framework for Bayesian Networks (2025)[Working paper › Preprint]. ArXiv.org. Nicoletti, S. M. & Stoelinga, M.https://doi.org/10.48550/arXiv.2506.23773Querying Attack-Fault-Defense Trees: Property Specification in Smart Grid and Aerospace Case Studies (2025)[Working paper › Preprint]. ArXiv.org. Soltani, R., Nicoletti, S. M., Lopuhaä-Zwakenberg, M. & Stoelinga, M.https://doi.org/10.48550/arXiv.2506.23789WATCHDOG: an ontology-aWare risk AssessmenT approaCH via object-oriented DisruptiOn Graphs (2025)In Advanced Information Systems Engineering: 37th International Conference, CAiSE 2025, Vienna, Austria, June 16-20, 2025. Proceedings, Part II (pp. 314-331) (Lecture Notes in Computer Science; Vol. 15702 LNCS). Springer (E-pub ahead of print/First online). Nicoletti, S. M., Hahn, E. M., Fumagalli, M., Guizzardi, G. & Stoelinga, M.https://doi.org/10.1007/978-3-031-94571-7_18Toward an ontology-based modeling for risk management (2025)[Contribution to conference › Paper] 18th International Workshop on Value Modelling and Business Ontologies, VMBO 2025. Oliveira, Í., Nicoletti, S. M., Fumagalli, M., Engelberg, G. & Guizzardi, G.https://www.researchgate.net/publication/389385170_Toward_an_ontology-based_modeling_for_risk_management

2024

Dodge: Ontology-Aware Risk Assessment via Object-Oriented Disruption Graphs (2024)[Working paper › Preprint]. ArXiv.org. Nicoletti, S. M., Hahn, E. M., Fumagalli, M., Guizzardi, G. & Stoelinga, M.https://doi.org/10.48550/arXiv.2412.13964How hard can it be? Quantifying MITRE attack campaigns with attack trees and cATM logic (experimental reproduction package) (2024)[Dataset Types › Dataset]. Zenodo. Nicoletti, S. M., Lopuhaä-Zwakenberg, M., Stoelinga, M., Massacci, F. & Budde, C. E.https://doi.org/10.5281/zenodo.14193935If a Tree Falls in the Forest: Risk Logics for Safety-Security Analysis (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Nicoletti, S. M.https://doi.org/10.3990/1.9789036563437How hard can it be?: Quantifying MITRE attack campaigns with attack trees and cATM logic (2024)[Working paper › Preprint]. ArXiv.org. Nicoletti, S. M., Lopuhaä-Zwakenberg, M., Stoelinga, M., Massacci, F. & Budde, C. E.https://doi.org/10.48550/arXiv.2410.06692Quantitative Comparisons of MITRE ATT&CK Campaigns (2024)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Nicoletti, S. M., Lopuhaä - Zwakenberg, M. A., Stoelinga, M., Massacci, F. & Budde, C.https://doi.org/10.4121/779a6a17-ed5e-4bfc-9068-6a16e3f7d10d

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