articleInternet of ThingsJul 6, 2022HYBRID OA

IoT anomaly detection methods and applications: A survey

Karlstad University · Czech Technical University in Prague

Indexed inarxivcrossref

Abstract

Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly expanding field. This growth necessitates an examination of application trends and current gaps. The vast majority of those publications are in areas such as network and infrastructure security, sensor monitoring, smart home, and smart city applications and are extending into even more sectors. Recent advancements in the field have increased the necessity to study the many IoT anomaly detection applications. This paper begins with a summary of the detection methods and applications, accompanied by a discussion of the categorization of IoT anomaly detection algorithms. We then discuss the current publications to identify…

Citation impact

276
total citations
FWCI
34.28
Percentile
100%
References
151
Citations per year

Authors

2

Topics & keywords

Keywords
  • Anomaly detection
  • Data science
  • Computer science
  • Field (mathematics)
  • Internet of Things
  • Economic shortage
  • Categorization
  • Anomaly (physics)
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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