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  4. Undetectable Timing-Attack on Linear State-Estimation by Using Rank-1 Approximation
 
research article

Undetectable Timing-Attack on Linear State-Estimation by Using Rank-1 Approximation

Barreto Andrade, Sergio  
•
Pignati, Marco  
•
Dán, György
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July 1, 2018
IEEE Transactions on Smart Grids

Smart-grid applications based on synchrophasor measurements have recently been shown to be vulnerable to timing attacks. A fundamental question is whether timing attacks could remain undetected by bad-data detection algorithms used in conjunction with state-of-the-art situational-awareness state estimators. In this paper, we analyze the detectability of timing attacks on linear state-estimation. We show that it is possible to forge delay attacks that are undetectable. We give a closed form for an undetectable attack; it imposes two phase offsets to two or more synchrophasor-based measurement units that can be translated to synchrophasors’ time delays. We also propose different methods for combining two-delays attacks to produce a larger impact. We simulate the attacks on a benchmark power- transmission grid, we show that they are successful and can lead to physical grid damage. To prove undetectability, we use classic bad-data detection techniques such as the largest normalized residual and the χ2-test.

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Type
research article
DOI
10.1109/TSG.2016.2634124
Author(s)
Barreto Andrade, Sergio  
Pignati, Marco  
Dán, György
Le Boudec, Jean-Yves  
Paolone, Mario  
Date Issued

2018-07-01

Published in
IEEE Transactions on Smart Grids
Volume

9

Issue

4

Start page

3530

End page

3542

Subjects

Time synchronization attack

•

False data injection

•

phasor measurement unit

•

PMU

•

Linear state estimation

•

epfl-smartgrids

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCA2  
DESL  
FunderGrant Number

FNS

S3-Grids

CTI/Innosuisse

SCCER FURIES

EU funding

700416

Available on Infoscience
December 5, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/131770
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