Anomaly detection models for detecting sensor faults and outliers in the iot-a survey

Gaddam, Anuroop, Wilkin, Timothy and Angelova Turkedjieva, Maia 2019, Anomaly detection models for detecting sensor faults and outliers in the iot-a survey, in ICST 2019 : Proceedings of the 13th International Conference on Sensing Technology, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/ICST46873.2019.9047684.

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Title Anomaly detection models for detecting sensor faults and outliers in the iot-a survey
Author(s) Gaddam, AnuroopORCID iD for Gaddam, Anuroop orcid.org/0000-0001-5112-9849
Wilkin, TimothyORCID iD for Wilkin, Timothy orcid.org/0000-0003-4059-1354
Angelova Turkedjieva, MaiaORCID iD for Angelova Turkedjieva, Maia orcid.org/0000-0002-0931-0916
Conference name Sensing Technology. Conference (2019 : 13th : Sydney, New South Wales)
Conference location Sydney, New South Wales
Conference dates 02-04 Dec. 2019
Title of proceedings ICST 2019 : Proceedings of the 13th International Conference on Sensing Technology
Publication date 2019
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) sensor reliability
outlier detection
time series
IoT networks
IoT-based sensor
anomaly detection
CORE A
ISBN 9781728146317
ISSN 2156-8065
2156-8073
Language eng
DOI 10.1109/ICST46873.2019.9047684
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30136366

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