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Tohid Behdadnia
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2020 – today
- 2024
- [j1]Tohid Behdadnia, Klaas Thoelen, Fairouz Zobiri, Geert Deconinck:
Leveraging Deep Learning to Increase the Success Rate of DoS Attacks in PMU-Based Automatic Generation Control Systems. IEEE Trans. Ind. Informatics 20(4): 6075-6088 (2024) - [c4]Tohid Behdadnia, Klaas Thoelen, Fairouz Zobiri, Geert Deconinck:
Spatial-Temporal Graph Neural Network for Detecting and Localizing Anomalies in PMU Networks. EDCC Workshops 2024: 75-82 - 2023
- [c3]Tohid Behdadnia, Geert Deconinck, Can Ozkan, Dave Singelée:
Encrypted Traffic Classification for Early-Stage Anomaly Detection in Power Grid Communication Network. ISGT EUROPE 2023: 1-6 - 2022
- [c2]Tohid Behdadnia, Geert Deconinck:
A New Deep Learning-Based Strategy for Launching Timely DoS Attacks in PMU-Based Cyber-Physical Power Systems. ISGT-Europe 2022: 1-5 - [i1]Tohid Behdadnia, Geert Deconinck:
Anomaly Detection in Automatic Generation Control Systems Based on Traffic Pattern Analysis and Deep Transfer Learning. CoRR abs/2209.08099 (2022) - 2021
- [c1]Tohid Behdadnia, Mehmet Parlak:
EV-Integrated Power System Transient Stability Prediction Based on Imaging Time Series and Deep Neural Network. ITSC 2021: 3198-3203 - [d1]Tohid Behdadnia, Mehmet Parlak:
Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy. IEEE DataPort, 2021
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