Outlier Detection Technique for IoT Sensor-Driven Big Data Systems

With the development of big data analysis technologies and the utilization of sensor data through Internet of Things (IoT) and wireless sensor networks (WSNs), users can easily analyze and use huge amounts of data. However, occasional sensor errors can lead to failures in maintaining optimum conditions, and also smart systems without user intervention are likely to be vulnerable to intrusions via external networks. Therefore, in this paper, a method to maintain the optimal state is proposed even when the sensor network fails due to sensor failure or external intrusion in big data systems.