Monash University
Thesis___Thusitha_Thilina_Dayaratne___final.pdf (3.83 MB)

False Data Injection Attacks Against Distributed Residential Demand Response Systems in Smart Grids

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posted on 2021-08-17, 14:13 authored by THUSITHA THILINA DAYARATNE
The introduction of the smart grid allows utility companies to leverage the residential demand flexibility in implementing effective demand response systems. Distributed architectures and the heterogeneous nature of residential DR systems allow malicious individuals and organised groups to execute different cyberattacks. This thesis analyses novel false data injection attacks (FDIAs) and their potential impact on these systems. Further, the use of anomaly detection methods in the context of FDIA detection is analysed. Moreover, the use of anomaly detection methods and impact alleviation techniques in improving the resiliency of DR schemes to ensure the effectiveness of distributed DR schemes is analysed.


Campus location


Principal supervisor

Carsten Rudolph

Additional supervisor 1

Ariel Liebman

Additional supervisor 2

Mahsa Salehi

Year of Award


Department, School or Centre

Information Technology (Monash University Clayton)


Doctor of Philosophy

Degree Type



Faculty of Information Technology