A survey of ai-based anomaly detection in iot and sensor networks

HIGHLIGHTS

  • who: Kyle DeMedeiros and colleagues from the Department of Computer Science and Statistics, College of Arts and Sciences, University of Rhode Island, Upper College Road, Kingston, RI, USA have published the article: A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks, in the Journal: Sensors 2023, 23, 1352. of /2023/
  • what: The aim of this survey was to highlight how anomaly detection is being performed on the Internet of Things and sensor networks identify anomaly detection approaches and outlines gaps in the research in this domain. The work focuses on cloud computing . . .

     

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