Amanda Ericson
Doktorand|Doctoral Student
- Professional title: Doctoral Student
- Academic title: Doctoral Student
- Telephone: +46 (0)10-1428546
- Email: amanda.ericson@miun.se
- Room number: L428
- Location: Sundsvall
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- Employed at the subject:
- Computer Engineering
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- Research centers:
- STC Research Centre
Publications
Konferensbidrag
Ericson, A. , Thar, K. & Forsström, S. (2025). Enhancing Intrusion Detection in CPS and IIoT with Lightweight Explainable AI Models. I 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). (IEEE International Workshop on Factory Communication Systems). S. 297--304.
Ericson, A. , Gaber, A. , Heil, S. , Forsström, S. , Thar, K. & Gaedke, M. (2025). Evaluating Trust-Related Principles in an Implemented Distributed Edge AI System. I 20th Swedish National Computer Networking and Cloud Computing Workshop (SNCNW 2025).
Formis, G. , Ericson, A. , Forsström, S. , Thar, K. , Cena, G. & Scanzio, S. (2025). On the Prediction of Wi-Fi Performance through Deep Learning. I 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). (IEEE International Workshop on Factory Communication Systems). S. 79--82.
Ericson, A. , Forsström, S. & Thar, K. (2024). IIoT Intrusion Detection using Lightweight Deep Learning Models on Edge Devices. I 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS).