A Study on Machine Learning Approaches for Outlier Detection in Wireless Sensor Network

• DOI: 10.1109/confluence.2018.8442992
• Publication Date: 2018-08-23T22:04:36Z
• Authors: Rajendra Kumar Dw...; Sonali Pandey; Rakesh Kumar
• Keywords: Identification

Wireless Sensor Network (WSN) is an important research area nowadays. deployed in hostile environment consisting of hundreds to thousands nodes. They can be for various mission-critical applications, such as health care, military monitoring well civilian applications. There are security issues these networks. One issue outlier detection. In detection, data obtained by some the nodes whose behavior different from other spotted group data. But identification a little difficult. this paper, machine learning based methods detection discussed among which Bayesian looks advantageous over methods. classification algorithm used calculating conditional dependency available WSN. This method also calculate missing value.