Abdulrahman Takiddin

Orcid: 0000-0003-4793-003X

According to our database1, Abdulrahman Takiddin authored at least 34 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Bidirectional GNN-Based Intrusion Detection of Malware Injection Attacks in EV Charging Stations.
IEEE Trans. Intell. Transp. Syst., March, 2026

Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection.
CoRR, March, 2026

GridFusionX: Network-Aware Probabilistic Forecasting for Multi-Regional Power Systems.
IEEE Trans. Netw. Sci. Eng., 2026

Transfer Learning-Based Classification of Cyber Attacks Against Power Grids.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

A Graph-Based Optimization Approach for Resilient EV Rerouting in Disrupted Charging Networks.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

Transferrable Graphon-Based Detection of Adversarial Samples in Power Grid Networks.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

Impact of Query and Non-Query Black-Box Evasion Attacks on UAV Intrusion Detection Systems.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

2025
SmartGrid-CyberPhysical-Attack-Dataset.
Dataset, June, 2025

Dynamic Spatio-Temporal Planning Strategy of EV Charging Stations and DGs Using GCNN-Based Predicted Power Demand.
IEEE Trans. Intell. Transp. Syst., April, 2025

Ensemble Learning-Based Intrusion Detection System for Aerial Base Stations Against Adversarial Evasion Attacks.
Proceedings of the IEEE International Conference on Communications, 2025

Securing EVCS Infrastructure Against Cyberattacks with a Deep Learning-Based Detection Model.
Proceedings of the 10th International Conference on Fog and Mobile Edge Computing, 2025

Multi-Task Graph-Based Attack Detection and Localization in Cyber-Physical Power Systems.
Proceedings of the 33rd European Signal Processing Conference, 2025

Graph Transfer Learning-Based Attack Detection in Cyber-Physical Water Distribution Systems.
Proceedings of the 33rd European Signal Processing Conference, 2025

2024
Spatio-temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids.
IEEE Trans. Artif. Intell., December, 2024

Robust Graph Autoencoder-Based Detection of False Data Injection Attacks Against Data Poisoning in Smart Grids.
IEEE Trans. Artif. Intell., March, 2024

Transfer Learning-Driven Electricity Theft Detection in Small-Sample Cases.
IEEE Trans. Instrum. Meas., 2024

Resilience of Data-Driven Cyberattack Detection Systems in Smart Power Grids.
Proceedings of the 32nd European Signal Processing Conference, 2024

Generalized FDIA Detection in Power Dependent Electrified Transportation Systems.
Proceedings of the 32nd European Signal Processing Conference, 2024

Cyberattack Aware Load Frequency Control in Power Systems.
Proceedings of the 58th Asilomar Conference on Signals, 2024

2023
Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Robust Data-Driven Detection of Electricity Theft Adversarial Evasion Attacks in Smart Grids.
IEEE Trans. Smart Grid, 2023

Cyber-Physical GNN-Based Intrusion Detection in Smart Power Grids.
Proceedings of the IEEE International Conference on Communications, 2023

Injection Attacks and Detection Strategy in Front-End Vehicle-to-Grid Communication.
Proceedings of the IEEE International Conference on Communications, 2023

Graph Autoencoder-Based Detection of Unseen False Data Injection Attacks in Smart Grids.
Proceedings of the Intelligent Systems and Applications, 2023

A Graph Neural Network Multi-Task Learning-Based Approach for Detection and Localization of Cyberattacks in Smart Grids.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Data-Driven Detection of Stealth Cyber-Attacks in DC Microgrids.
IEEE Syst. J., 2022

Deep Autoencoder-Based Anomaly Detection of Electricity Theft Cyberattacks in Smart Grids.
IEEE Syst. J., 2022

Detection of Electricity Theft False Data Injection Attacks in Smart Grids.
Proceedings of the 30th European Signal Processing Conference, 2022

Gauging Facial Abnormality Using Haar-Cascade Object Detector.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids.
IEEE Trans. Smart Grid, 2021

Detecting Electricity Theft Cyber-Attacks in AMI Networks Using Deep Vector Embeddings.
IEEE Syst. J., 2021

Robust Detection of Electricity Theft Against Evasion Attacks in Smart Grids.
Proceedings of the ICC 2021, 2021

2020
The use of technology in tracking soccer players' health performance: a scoping review.
BMC Medical Informatics Decis. Mak., 2020

Variational Auto-encoder-based Detection of Electricity Stealth Cyber-attacks in AMI Networks.
Proceedings of the 28th European Signal Processing Conference, 2020


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