Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Topology Learning Aided False Data Injection Attack without Prior
  Topology Information   False Data Injection (FDI) attacks against powersystem state estimation are a
growing concern for operators.Previously, most works on FDI attacks have been
performedunder the assumption of the attacker having full knowledge ofthe
underlying system without clear justification. In this paper, wedevelop a
topology-learning-aided FDI attack that allows stealthycyber-attacks against AC
power system state estimation withoutprior knowledge of system information. The
attack combinestopology learning technique, based only on branch and bus
powerflows, and attacker-side pseudo-residual assessment to performstealthy FDI
attacks with high confidence. This paper, for thefirst time, demonstrates how
quickly the attacker can developfull-knowledge of the grid topology and
parameters and validatesthe full knowledge assumptions in the previous work.

26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
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The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int