48 citations · 108 across the 8 of their papers we have counts for
8 papers
Training Strategies for Autoencoder-based Detection of False Data Injection Attacks
Chenguang Wang, Kaikai Pan, Simon Tindemans +1
The security of energy supply in a power grid critically depends on the ability to accurately estimate the state of the system. However, manipulated power flow measurements can pot…
Dynamic Anomaly Detection with High-fidelity Simulators: A Convex Optimization Approach
Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani
The main objective of this article is to develop scalable dynamic anomaly detectors when high-fidelity simulators of power systems are at our disposal. On the one hand, mathematica…
Detection of False Data Injection Attacks Using the Autoencoder Approach
Chenguang Wang, Simon Tindemans, Kaikai Pan +1
State estimation is of considerable significance for the power system operation and control. However, well-designed false data injection attacks can utilize blind spots in conventi…
False Data Injection Attacks on Hybrid AC/HVDC Interconnected System with Virtual Inertia -- Vulnerability, Impact and Detection
Kaikai Pan, Elyas Rakhshani, Peter Palensky
Power systems are moving towards hybrid AC/DC grids with the integration of HVDC links, renewable resources and energy storage modules. New models of frequency control have to cons…
From Static to Dynamic Anomaly Detection with Application to Power System Cyber Security
Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani
Developing advanced diagnosis tools to detect cyber attacks is the key to security of power systems. It has been shown that multivariate data injection attacks can bypass bad data…
Data Attacks on Power System State Estimation: Limited Adversarial Knowledge vs. Limited Attack Resources
Kaikai Pan, André Teixeira, Milos Cvetkovic +1
A class of data integrity attack, known as false data injection (FDI) attack, has been studied with a considerable amount of work. It has shown that with perfect knowledge of the s…
Cyber Risk Analysis of Combined Data Attacks Against Power System State Estimation
Kaikai Pan, André Teixeira, Milos Cvetkovic +1
Understanding smart grid cyber attacks is key for developing appropriate protection and recovery measures. Advanced attacks pursue maximized impact at minimized costs and detectabi…
Co-simulation for Cyber Security Analysis: Data Attacks against Energy Management System
Kaikai Pan, André Teixeira, Claudio López +1
It is challenging to assess the vulnerability of a cyber-physical power system to data attacks from an integral perspective. In order to support vulnerability assessment except ana…