Paper Info
Title
DETECTION OF FALSE DATA INJECTION ATTACK USING GRAPH SIGNAL PROCESSING FOR THE POWER GRID
Abstract
In this paper we revisit the problem of False Data Injection (FDI) attacks to electric power systems synchrophasors measurements through the lens of graph signal processing (GSP). First, we introduce a physics based model that supports the empirical evidence that Phasor Measurement Unit (PMU) data are low-pass graph signals. This insight is used to investigate how one can leverage such a structure to construct more effective bad data detection (BDD) algorithms that can detect FDI attack signatures through appropriate utilization of the features of the PMU graph-signal.
Year
DOI
Venue
2019
10.1109/GlobalSIP45357.2019.8969373
IEEE Global Conference on Signal and Information Processing
Field
DocType
ISSN
Graph,Data detection,Phasor measurement unit,Graph signal processing,Electric power system,Power grid,Through-the-lens metering,Computer engineering
Conference
2376-4066
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Raksha Ramakrishna163.65
Anna Scaglione22559225.41