Generation of false data injection attacks using conditional generative adversarial networks

Mostafa Mohammadpourfard, Fateme Ghanaatpishe, Marziyeh Mohammadi, Subhash Lakshminarayana, Mykola Pechenizkiy

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

The growing adoption of information and communication technologies (ICTs) is enabling intelligent power grid applications. However, strong reliance on ICTs makes the grid susceptible to cyber attacks such as false data injection attacks (FDIAs). This paper shows how deep learning approaches can be used to craft FDIAs against power grid state estimation that can circumvent the grid's bad data detector (BDD). In particular, we utilize conditional Generative Adversarial Networks (cGANs) to learn the distribution of the power grid measurement data and produce fake measurements that are identical in distribution to the real ones. Under the proposed algorithm, the attacker needs to have access to the grid's measurement data and know what data types in order to inject into the measurement system. No other prior knowledge about the grid is required. This type of threat model is novel and has not been considered so far. The simulation results on IEEE 14-bus system shows that FDIAs generated by our best performing cGAN implementation trained using real-world load data sets can bypass the BDD with a very high probability. Moreover, the distance between the distributions of the real and fake measurements (with FDIAs), measured in terms of the Jensen-Shannon divergence has a very low value, which shows the effectiveness of the proposed FDIA design approach.

Originele taal-2Engels
TitelProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
UitgeverijIEEE Computer Society
Pagina's41-45
Aantal pagina's5
ISBN van elektronische versie9781728171005
DOI's
StatusGepubliceerd - 26 okt 2020
Evenement10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 - Delft, Nederland
Duur: 26 okt 202028 okt 2020

Congres

Congres10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
LandNederland
StadDelft
Periode26/10/2028/10/20

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