Anomaly detection in WSN: critical study with new vision (original) (raw)

Abstract

ABSTRACT In Wireless Sensor Networks “WSN”, intrusion, reliability of links or sensors, energy and other challenges have a serious impact about security and assurance of good information (Quality of Information) e.g. for making decision. In fact, WSN is a system that collects data of events or alerts from sensors. Therefore, to have a good decision and functioning we can analyze data to detect anomalies (intrusions, luck of energy, congestion, bad connections…) or events. The aim of this study is to investigate on the detection of abnormalities in WSN and these components via catches being anomalies or events. With new vision, we define the anomaly problem and it detection locally in WSN based on the captured data. Also, we localize the problem in a wider area, "reliability engineering", that aims to have a safe, secure, available and maintainable system. The paper will present different techniques used for anomaly-treatment and a comparative study.

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