Intrusion cancellation for anomaly detection in healthcare applications

Lately, there has been a lot of interest in how to ensure secure communication in Wireless Body Sensor Networks (WBSN). To accomplish this finish, applied researchers have become increasingly identified their own detection techniques. However, WBSN still vulnerable for many attacks, for instance: Ja...

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Bibliographic Details
Main Authors: Mohamed, Mbarka Belhaj, Meddeb-Makhlouf, Amel, Fakhfakh, Ahmed
Format: Conference Proceeding
Language:English
Subjects:
Anomaly detection
ECG
Electrocardiography
Electromyography
EMG
Filtering
Intrusion Cancellation
Intrusion detection
Sensors
WBSN
Wireless communication
Wireless sensor networks
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Summary:Lately, there has been a lot of interest in how to ensure secure communication in Wireless Body Sensor Networks (WBSN). To accomplish this finish, applied researchers have become increasingly identified their own detection techniques. However, WBSN still vulnerable for many attacks, for instance: Jamming, Sybil attacks, Sinkhole, Denial of service (DOS), etc. Therefore, intrusion detection is officially compulsory process that helps physicians to get accurate medical decisions. The present work proposes an intrusion cancellation to add efficiency to medical anomaly detection based on Electrocardiogram (ECG) and Electromyogram (EMG) analysis. The efficiency and accuracy of the proposed approach are evaluated using the Matlab tool. Hence, our scheme may be considered as a promising accurate detection of false alert rates.
ISSN:2376-6506
DOI:10.1109/IWCMC.2019.8766592