activity
20212026
most citedAvailability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting

2 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SY2026

Distributed Synthesis of Gray-Box Distributed H2 Controllers

Michael C. A. Nestor, Fei Teng

Distributed controller synthesis offers scalable and privacy-preserving control design, but typical state-of-the-art approaches either assume white-box models or resort to centrali…

eess.SY2023★ 1 cited

Preventive-Corrective Cyber-Defense: Attack-Induced Region Minimization and Cybersecurity Margin Maximization

Jiazuo Hou, Fei Teng, Wenqian Yin +2

False data injection (FDI) cyber-attacks on power systems can be prevented by strategically selecting and protecting a sufficiently large measurement subset, which, however, requir…

cs.LG2023★ 2 cited

Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting

Wangkun Xu, Fei Teng

The forecast of electrical loads is essential for the planning and operation of the power system. Recently, advances in deep learning have enabled more accurate forecasts. However,…

eess.SY2022

Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Deep Learning

Yexiang Chen, Subhash Lakshminarayana, Fei Teng

As one of the most sophisticated attacks against power grids, coordinated cyber-physical attacks (CCPAs) damage the power grid's physical infrastructure and use a simultaneous cybe…

eess.SY2022

Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach

Wangkun Xu, Martin Higgins, Jianhong Wang +2

Fast and accurate detection of cyberattacks is a key element for a cyber-resilient power system. Recently, data-driven detectors and physics-based Moving Target Defences (MTD) have…

eess.SY2022★ 1 cited

Mitigation of Cyberattacks through Battery Storage for Stable Microgrid Operation

Ioannis Zografopoulos, Panagiotis Karamichailidis, Andreas T. Procopiou +3

In this paper, we present a mitigation methodology that leverages battery energy storage system (BESS) resources in coordination with microgrid (MG) ancillary services to maintain…

eess.SY2022

Cyber-Physical Risk Assessment for False Data Injection Attacks Considering Moving Target Defences

Martin Higgins, Wangkun Xu, Fei Teng +1

In this paper, we examine the factors that influence the success of false data injection (FDI) attacks in the context of both cyber and physical styles of reinforcement. Many works…

eess.SY2021★ 1 cited

Cyber-Resilient Self-Triggered Distributed Control of Networked Microgrids Against Multi-Layer DoS Attacks

Pudong Ge, Boli Chen, Fei Teng

Networked microgrids with high penetration of distributed generators have ubiquitous remote information exchange, which may be exposed to various cyber security threats. This paper…