NDLI: Anomaly detection in medical WSNs using enclosing ellipse and chi-square distance

Content Provider	IEEE Xplore Digital Library
Author	Salem, O. Yaning Liu Mehaoua, A.
Copyright Year	2014
Description	Author affiliation: LIPADE Lab., Univ. Paris Descartes, Paris, France (Salem, O.; Mehaoua, A.) \|\| JCP-Consult, Rennes, France (Yaning Liu)
Abstract	In this paper, we propose an Anomaly Detection (AD) approach for medical Wireless Sensor Networks (WSNs). This approach is able to detect abnormal changes and to cope with unreliable or maliciously injected measurements in the network, without prior knowledge of anomalous events or normal data pattern. The main objective is to reduce the false alarms triggered by abnormal measurements. In our proposed framework, each sensor applies the Exponentially Weighted Moving Average (EWMA) for one-step forecasting. To reduce the energy consumed by periodic data transmission to the Local Processing Unit (LPU), the sensor transmits only when the data point (measured, expected) falls outside the dynamically updated ellipsoidal region enclosing the normal data. The LPU exploits correlation and uses chi-square distance for spatial analysis before raising a medical alarm. We evaluate our approach on real medical data set. Experimental results through computer simulation demonstrate that our proposed approach can achieve a good detection accuracy with low false alarm rate (less than 4%).
Starting Page	3658
Ending Page	3663
File Size	410439
Page Count	6
File Format	PDF
ISBN	9781479920037
DOI	10.1109/ICC.2014.6883890
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Biomedical monitoring Monitoring Correlation Medical services Time measurement Current measurement Healthcare monitoring Wireless Body Area Networks Security Intrusion Detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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