معرفی
Yuning Jiang holds a doctoral degree from the University of Skövde, with research focused on cybersecurity for cyber-physical systems (CPS) and critical infrastructure protection. Affiliated with the School of Informatics, Jiang's work bridges information technology (IT) and operational technology (OT) security domains through advanced modeling and machine learning techniques.
- Education: PhD in Information Security (2022), University of Skövde
Research interests include:
- Cybersecurity analysis for cyber-physical production systems (CPPS)
- Enterprise architecture modeling for vulnerability assessment
- Machine learning applications in security data inconsistency resolution
- Digital twin technology for attack scenario simulation
Article trends show consistent focus on:
- CPS vulnerability quantification across 8 publications
- 11 papers addressing critical infrastructure protection
- 6 studies on dependency modeling in hybrid systems
Awarded grants from:
- EU Internal Security Fund (ISF)
- Knowledge Foundation (KKS), Sweden
- SYMBIO-TIC project
- ELVIRA project
Contributions include:
- Developing semantic frameworks for human-in-the-loop security
- Designing cross-linked vulnerability databases
- Advancing ensemble machine learning models for threat analysis
- Creating taxonomy for cyber-physical functional dependencies
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