Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IWCMC.2019.8766592 | 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) |
Keywords | Field | DocType |
Anomaly Detection,Intrusion Cancellation,ECG,EMG,Filtering,WBSN | Anomaly detection,Wireless,Denial-of-service attack,Computer security,Computer science,Filter (signal processing),Computer network,Intrusion detection system,Jamming,Wireless sensor network,Secure communication | Conference |
ISSN | ISBN | Citations |
2376-6492 | 978-1-5386-7748-3 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mbarka Belhaj Mohamed | 1 | 0 | 0.34 |
| Amel Meddeb | 2 | 7 | 7.81 |
| Ahmed Fakhfakh | 3 | 0 | 0.34 |