Tohid Behdadnia

According to our database, Tohid Behdadnia authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Leveraging Deep Learning to Increase the Success Rate of DoS Attacks in PMU-Based Automatic Generation Control Systems.

Tohid Behdadnia, Klaas Thoelen, Fairouz Zobiri, Geert Deconinck

IEEE Trans. Ind. Informatics, April, 2024

Spatial-Temporal Graph Neural Network for Detecting and Localizing Anomalies in PMU Networks.

Tohid Behdadnia, Klaas Thoelen, Fairouz Zobiri, Geert Deconinck

Proceedings of the Dependable Computing - EDCC 2024 Workshops, 2024

2023

Encrypted Traffic Classification for Early-Stage Anomaly Detection in Power Grid Communication Network.

Tohid Behdadnia, Geert Deconinck, Can Ozkan, Dave Singelée

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

2022

Anomaly Detection in Automatic Generation Control Systems Based on Traffic Pattern Analysis and Deep Transfer Learning.

Tohid Behdadnia, Geert Deconinck

CoRR, 2022

A New Deep Learning-Based Strategy for Launching Timely DoS Attacks in PMU-Based Cyber-Physical Power Systems.

Tohid Behdadnia, Geert Deconinck

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

2021

Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy.

Tohid Behdadnia, Mehmet Parlak

Dataset, August, 2021

EV-Integrated Power System Transient Stability Prediction Based on Imaging Time Series and Deep Neural Network.

Tohid Behdadnia, Mehmet Parlak

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021