Imperial College London
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ProfessorThomasParisini

Faculty of Engineering, Department of Electrical and Electronic Engineering

Chair in Industrial Control, Head of Group for CAP
 
 
 
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Contact

 

+44 (0)20 7594 6240t.parisini Website

 
 
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Location

 

1114Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Higgins:2020:10.1109/tifs.2020.3027148,
author = {Higgins, M and Teng, F and Parisini, T},
doi = {10.1109/tifs.2020.3027148},
journal = {IEEE Transactions on Information Forensics and Security},
pages = {1275--1287},
title = {Stealthy MTD against unsupervised learning-based blind FDI Attacks in power systems},
url = {http://dx.doi.org/10.1109/tifs.2020.3027148},
volume = {16},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper examines how moving target defenses (MTD) implemented in power systems can be countered by unsupervised learning-based false data injection (FDI) attack and how MTD can be combined with physical watermarking to enhance the system resilience. A novel intelligent attack, which incorporates dimensionality reduction and density-based spatial clustering, is developed and shown to be effective in maintaining stealth in the presence of traditional MTD strategies. In resisting this new type of attack, a novel implementation of MTD combining with physical watermarking is proposed by adding Gaussian watermark into physical plant parameters to drive detection of traditional and intelligent FDI attacks, while remaining hidden to the attackers and limiting the impact on system operation and stability.
AU  - Higgins,M
AU  - Teng,F
AU  - Parisini,T
DO  - 10.1109/tifs.2020.3027148
EP  - 1287
PY  - 2020///
SN  - 1556-6013
SP  - 1275
TI  - Stealthy MTD against unsupervised learning-based blind FDI Attacks in power systems
T2  - IEEE Transactions on Information Forensics and Security
UR  - http://dx.doi.org/10.1109/tifs.2020.3027148
UR  - https://ieeexplore.ieee.org/document/9207760
UR  - http://hdl.handle.net/10044/1/82948
VL  - 16
ER  -
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