Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Survey of Machine Learning Methods for Detecting False Data Injection
  Attacks in Power Systems   Over the last decade, the number of cyberattacks targeting power systems and
causing physical and economic damages has increased rapidly. Among them, False
Data Injection Attacks (FDIAs) is a class of cyberattacks against power grid
monitoring systems. Adversaries can successfully perform FDIAs in order to
manipulate the power system State Estimation (SE) by compromising sensors or
modifying system data. SE is an essential process performed by the Energy
Management System (EMS) towards estimating unknown state variables based on
system redundant measurements and network topology. SE routines include Bad
Data Detection (BDD) algorithms to eliminate errors from the acquired
measurements, e.g., in case of sensor failures. FDIAs can bypass BDD modules to
inject malicious data vectors into a subset of measurements without being
detected, and thus manipulate the results of the SE process. In order to
overcome the limitations of traditional residual-based BDD approaches,
data-driven solutions based on machine learning algorithms have been widely
adopted for detecting malicious manipulation of sensor data due to their fast
execution times and accurate results. This paper provides a comprehensive
review of the most up-to-date machine learning methods for detecting FDIAs
against power system SE algorithms.

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The categories of this paper are: astro-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
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The categories of this paper are: adap-org
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The categories of this paper are: gr-qc
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ph
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The categories of this paper are: supr-con
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-ex