This is a list of EESG publications from 2017 onwards.

For ones before 2017, refer to the EESG@CMU group website.

EESG MIT 12/16/20 EESG MIT 12/16/20

Resilient State Estimation in Presence of Severe Coordinated Cyber-Attacks on Large-Scale Power Systems

Ana Jevtic, Marija Ilic

Type

Conference Paper

Publication

2020 IEEE Power & Energy Society General Meeting (PESGM) and MIT Open Access Articles

Link to IEEE Publication

Link to MIT Publication

EESG MIT 7/27/20 EESG MIT 7/27/20

A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering

Ana Jevtic, Marija Ilic

Type

Conference Paper

Publication

2020 American Control Conference (ACC) and MIT Open Access Articles

Link to IEEE Publication

Link to MIT Publication

EESG MIT 7/1/20 EESG MIT 7/1/20

Cyber-Attack Detection and Resilient State Estimation in Power Systems

Ana Jevtic, Marija Ilic

Type

Conference Paper

Publication

2020 American Control Conference (ACC)

Link to Publication

EESG MIT 5/1/20 EESG MIT 5/1/20

Cyber-Attack Detection and Resilient State Estimation in Power Systems

Ana Jevtic

Type

Ph.D. Thesis

Link to Publication

EESG MIT 4/8/20 EESG MIT 4/8/20

A Moving-target Cyber-Attack Detection Strategy for Large-scale Power Systems using Dynamic Clustering

Ana Jevtic, Marija Ilic

Type

Physics- and Learning-based Detection and Localization of False Data Injections in Automatic Generation Control

Ana Jevtic, Fengli Zhang, Qinghua Li, Marija Ilic

Type

Conference Paper

Publication

2018 10th IFAC Symposium on Control of Power and Energy Systems CPES

Link to Publication

This is a list of EESG publications from 2017 onwards.

For ones before 2017, refer to the EESG@CMU group website.

Resilient State Estimation in Presence of Severe Coordinated Cyber-Attacks on Large-Scale Power Systems

A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering

Cyber-Attack Detection and Resilient State Estimation in Power Systems

Cyber-Attack Detection and Resilient State Estimation in Power Systems

A Moving-target Cyber-Attack Detection Strategy for Large-scale Power Systems using Dynamic Clustering

Physics- and Learning-based Detection and Localization of False Data Injections in Automatic Generation Control

Massachusetts Institute of Technology

Electric Energy Systems Group