International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Detection of outliers in the IoT data using the STCPOD model

Author : I.Priya Stella Mary ¹ Dr. L. Arockiam ²

Date of Publication :3rd October 2017

Abstract: The Internet of Things (IoT) is the novel communication paradigm in which the internet is extended from the virtual world to interact with the objects in the physical world. Through this, an immense number of applications can be developed but at the same time, enormous challenges have to be dealt with to reap the benefits of the IoT. One such challenge is outlier detection in Internet of Things. Outlier detection is a process to detect the data that vary from the rest of the data based on a certain quantity. Outlier detection is very essential in Internet of Things to detect unusual behaviours, readings and events. In this paper, a novel STCPOD (Spatially and temporally correlated proximate Outlier Detection model) is proposed to deal with Outlier detection problem in IoT. Experimental results have proved that the proposed method has outperformed the existing STCOD model in terms of accuracy

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