Arshia Aflaki - Academia.edu (original) (raw)

Uploads

Papers by Arshia Aflaki

Research paper thumbnail of Accuracy Improvement of Electrical Load Forecasting Against New Cyber-Attack Architectures

Sustainable Cities and Society

Research paper thumbnail of A Hybrid Framework for Detecting and Eliminating Cyber-Attacks in Power Grids

Energies

The work described in this paper aims to detect and eliminate cyber-attacks in smart grids that d... more The work described in this paper aims to detect and eliminate cyber-attacks in smart grids that disrupt the process of dynamic state estimation. This work makes use of an unsupervised learning method, called hierarchical clustering, in an attempt to create an artificial sensor to detect two different cyber-sabotage cases, known as false data injection and denial-of-service, during the dynamic behavior of the power system. The detection process is conducted by using an unsupervised learning-enhanced approach, and a decision tree regressor is then employed for removing the threat. The dynamic state estimation of the power system is done by Kalman filters, which provide benefits in terms of the speed and accuracy of the process. Measurement devices in utilities and buses are vulnerable to communication interruptions between phasor measurement units and operators, who can be easily manipulated by false data. While Kalman filters are incapable of detecting the majority of such cyber-atta...

Research paper thumbnail of Accuracy Improvement of Electrical Load Forecasting Against New Cyber-Attack Architectures

Sustainable Cities and Society

Research paper thumbnail of A Hybrid Framework for Detecting and Eliminating Cyber-Attacks in Power Grids

Energies

The work described in this paper aims to detect and eliminate cyber-attacks in smart grids that d... more The work described in this paper aims to detect and eliminate cyber-attacks in smart grids that disrupt the process of dynamic state estimation. This work makes use of an unsupervised learning method, called hierarchical clustering, in an attempt to create an artificial sensor to detect two different cyber-sabotage cases, known as false data injection and denial-of-service, during the dynamic behavior of the power system. The detection process is conducted by using an unsupervised learning-enhanced approach, and a decision tree regressor is then employed for removing the threat. The dynamic state estimation of the power system is done by Kalman filters, which provide benefits in terms of the speed and accuracy of the process. Measurement devices in utilities and buses are vulnerable to communication interruptions between phasor measurement units and operators, who can be easily manipulated by false data. While Kalman filters are incapable of detecting the majority of such cyber-atta...

Log In