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  • Taesic Kim
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Taesic
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Kim
Akash, A. R., Ahn, B., Jenkins, A., Khot, A., Silva, L., Tavares-Vengas, H., & Kim, T. (2023). Quantum Convolutional Neural Network-based Online Malware File Detection for Smart Grid Devices. In (pp. 1–5). Miami, FL, USA: IEEE. http://doi.org/10.1109/DMC58182.2023.10412597 (Original work published 2025)
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Ahmad, S., Ahn, B., Alvee, S. R. B., Trevino, D., Kim, T., Youn, Y.-W., & Ryu, M.-H. (2022). Advanced Persistent Threat (APT)-Style Attack Modeling and Testbed for Power Transformer Diagnosis System in a Substation. In (pp. 1–5). New Orleans, LA, USA: IEEE. http://doi.org/10.1109/ISGT50606.2022.9817518 (Original work published 2025)
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Mohammadpourfard, M., Weng, Y., Genc, I., & Kim, T. (2022). An Accurate False Data Injection Attack (FDIA) Detection in Renewable-Rich Power Grids. In 2022 10th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) (pp. 1–5).
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