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
Conference papers
Ericson, A. , Thar, K. & Forsström, S. (2025). Enhancing Intrusion Detection in CPS and IIoT with Lightweight Explainable AI Models. In 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). (IEEE International Workshop on Factory Communication Systems). pp. 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. In 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. In 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). (IEEE International Workshop on Factory Communication Systems). pp. 79--82.
Ericson, A. , Forsström, S. & Thar, K. (2024). IIoT Intrusion Detection using Lightweight Deep Learning Models on Edge Devices. In 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS).