A Robust Architecture for Detecting Outliers in IoT Data using STCPOD Model

Authors

  • Priya Stella Mary  Department of Computer Science, St Joseph College(Autonomous). Trichy, Tiruchirappalli, Tamil Nadu, India
  • Dr. L. Arockiam  Department of Computer Science, St Joseph College(Autonomous). Trichy, Tiruchirappalli, Tamil Nadu, India

Keywords:

IoT, sensors, outliers, outlier detection

Abstract

Internet of Things (IoT) is an ecosystem of interconnected physical devices that are accessible through the internet so that these devices can collect and exchange data. Outliers in IoT are generated either due to system malfunctions or because of unexpected transformation in the observed phenomenon. A novel outlier detection mechanism is crucial for IoT so as to achieve high detection rate and low false alarm rate by taking into consideration all the characteristics of IoT data while spotting outliers. In this paper a robust Architecture is proposed to efficiently detect outliers in IoT data using STCPOD (a novel STCPOD (Spatially and temporally correlated proximate Outlier Detection) model.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-12-31

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

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How to Cite

[1]
Priya Stella Mary, Dr. L. Arockiam, " A Robust Architecture for Detecting Outliers in IoT Data using STCPOD Model, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.659-664, November-December-2017.