activity
20152021
most citedEvaluating Power System Vulnerability to False Data Injection Attacks via Scalable Optimization

5 citations · 18 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2021★ 2 cited

A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid

Zhigang Chu, Andrea Pinceti, Ramin Kaviani +10

In this paper, we investigate the feasibility and physical consequences of cyber attacks against energy management systems (EMS). Within this framework, we have designed a complete…

eess.SY2020

Reliability Makes It Difficult for False Data Injection Attacks to Cause Physical Consequences

Zhigang Chu, Jiazi Zhang, Oliver Kosut +1

This paper demonstrates that false data injection (FDI) attacks are extremely limited in their ability to cause physical consequences on reliable power systems operating with…

eess.SY2019★ 4 cited

Vulnerability Assessment of N-1 Reliable Power Systems to False Data Injection Attacks

Zhigang Chu, Jiazi Zhang, Oliver Kosut +1

This paper studies the vulnerability of large-scale power systems to false data injection (FDI) attacks through their physical consequences. Prior work has shown that an attacker-d…

eess.SY2018★ 1 cited

Unobservable False Data Injection Attacks against PMUs: Feasible Conditions and Multiplicative Attacks

Zhigang Chu, Jiazi Zhang, Oliver Kosut +1

This paper studies false data injection (FDI) attacks against phasor measurement units (PMUs). As compared to the conventional bad data detector (BDD), an enhanced BDD utilizing th…

eess.SY2017★ 3 cited

False Data Injection Attacks on Phasor Measurements That Bypass Low-rank Decomposition

Jiazi Zhang, Zhigang Chu, Lalitha Sankar +1

This paper studies the vulnerability of phasor measurement units (PMUs) to false data injection (FDI) attacks. Prior work demonstrated that unobservable FDI attacks that can bypass…

eess.SY2017★ 3 cited

Vulnerability Assessment of Large-scale Power Systems to False Data Injection Attacks

Zhigang Chu, Jiazi Zhang, Oliver Kosut +1

This paper studies the vulnerability of large-scale power systems to false data injection (FDI) attacks through their physical consequences. Prior work has shown that an attacker-d…

eess.SY2017

Can Attackers with Limited Information Exploit Historical Data to Mount Successful False Data Injection Attacks on Power Systems?

Jiazi Zhang, Zhigang Chu, Lalitha Sankar +1

This paper studies physical consequences of unobservable false data injection (FDI) attacks designed only with information inside a sub-network of the power system. The goal of thi…

eess.SY2016★ 5 cited

Evaluating Power System Vulnerability to False Data Injection Attacks via Scalable Optimization

Zhigang Chu, Jiazi Zhang, Oliver Kosut +1

Physical consequences to power systems of false data injection cyber-attacks are considered. Prior work has shown that the worst-case consequences of such an attack can be determin…

eess.SY2015

Implication of Unobservable State-and-topology Cyber-physical Attacks

Jiazi Zhang, Lalitha Sankar

This paper studies the physical consequences of a class of unobservable state-and-topology cyber-physical attacks in which both state and topology data for a sub-network of the net…