Empirical studies of ECG Multiple Fiducial-points based Binary Sequence Generation (MFBSG) algorithm in e-Health Sensor Platform

Kashif Saleem, Haider Abbas, Jalal Al-Muhtadi, Mehmet A. Orgun, Rajan Shankaran, Guanglou Zhang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

7 Citations (Scopus)

Abstract

In this paper, the Arduino Uno based e-Health Sensor Platform V2.0 by Libelium is enhanced with the ECG Multiple Fiducial-points based Binary Sequence Generation (MFBSG) algorithm to secure wireless sensors within Wireless Body Area Networks (WBANs). The eHealth kit includes biometric and other medical related functionalities to monitor the human body conditions by utilizing 10 different sensors that includes electrocardiogram (ECG). Therefore, MF-BSG algorithm generates secret keys for encryption, decryption and authentication purposes. Furthermore, we have analyzed the performance of the enhanced version of the toolkit and compared it with the Enhanced Very Fast Decision Tree (EVFDT) mechanism based health care systems in terms attack detection accuracy. The results confirm that the monitored data is transferred to the required destination in a more accurate and secure manner as compared to previous algorithms.

Original languageEnglish
Title of host publicationLCN Workshops 2016
Subtitle of host publicationProceedings of the 2016 IEEE 41st Conference on Local Computer Networks
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages236-240
Number of pages5
ISBN (Electronic)9781509023479, 9781509023462
ISBN (Print)9781509023486
DOIs
Publication statusPublished - 2016
Event41st IEEE Conference on Local Computer Networks Workshops, LCN Workshops 2016 - Dubai, United Arab Emirates
Duration: 7 Nov 201610 Nov 2016

Other

Other41st IEEE Conference on Local Computer Networks Workshops, LCN Workshops 2016
CountryUnited Arab Emirates
CityDubai
Period7/11/1610/11/16

Keywords

  • applications
  • biometric
  • communication
  • eHealth
  • electrocardiogram
  • encryption
  • medical
  • security
  • sensor
  • wireless body area network (WBAN)

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    Saleem, K., Abbas, H., Al-Muhtadi, J., Orgun, M. A., Shankaran, R., & Zhang, G. (2016). Empirical studies of ECG Multiple Fiducial-points based Binary Sequence Generation (MFBSG) algorithm in e-Health Sensor Platform. In LCN Workshops 2016 : Proceedings of the 2016 IEEE 41st Conference on Local Computer Networks (pp. 236-240). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/LCN.2016.053