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A comparative study of fuzzy vault based security methods for wirless body sensor networks

  • Sandeep Pirbhulal*
  • , Heye Zhang
  • , Wanqing Wu
  • , Yuan-Ting Zhang
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Wireless Body Sensor Networks (WBSNs) are widely used for healthcare monitoring applications. Owing to the significance of confidentiality and security, the transmissions of medical information in WBSNs have to be severely protected. This research aims to develop an Intel Galileo based WBSN platform. The physiological characteristics such as (Electrocardiogram) ECG captured from human body can be used as exclusive way for entity identifications (EIs) to authenticate data in WBSNs. In this paper using Matlab software, we also compared the performance of some of recently developed fuzzy vault based data authentication methods for entity identification in WBSNs.
Original languageEnglish
Title of host publication2016 10th International Conference on Sensing Technology (ICST)
PublisherIEEE
ISBN (Electronic)9781509007967
ISBN (Print)9781509007974
DOIs
Publication statusPublished - Nov 2016
Externally publishedYes
Event10th International Conference on Sensing Technology (ICST 2016) - Nanjing, China
Duration: 11 Nov 2016 → 13 Nov 2016

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
Volume2016 (10th)
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Conference

Conference10th International Conference on Sensing Technology (ICST 2016)
Abbreviated titleICST 2016
PlaceChina
CityNanjing
Period11/11/16 → 13/11/16

Research Keywords

  • Data Autentication
  • ECG
  • Fuzzy Vault
  • Security
  • Wireless Body Sensor Networks

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