Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Learning-Based Anomaly Detection in Cyber-Physical Systems:
  Progress and Opportunities   Anomaly detection is crucial to ensure the security of cyber-physical systems
(CPS). However, due to the increasing complexity of CPSs and more sophisticated
attacks, conventional anomaly detection methods, which face the growing volume
of data and need domain-specific knowledge, cannot be directly applied to
address these challenges. To this end, deep learning-based anomaly detection
(DLAD) methods have been proposed. In this paper, we review state-of-the-art
DLAD methods in CPSs. We propose a taxonomy in terms of the type of anomalies,
strategies, implementation, and evaluation metrics to understand the essential
properties of current methods. Further, we utilize this taxonomy to identify
and highlight new characteristics and designs in each CPS domain. Also, we
discuss the limitations and open problems of these methods. Moreover, to give
users insights into choosing proper DLAD methods in practice, we experimentally
explore the characteristics of typical neural models, the workflow of DLAD
methods, and the running performance of DL models. Finally, we discuss the
deficiencies of DL approaches, our findings, and possible directions to improve
DLAD methods and motivate future research.

25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas