Identity authentication protocol based on ECG feature in WBAN

ZHU Shu-wen; ZHONG Bo-cheng; WANG Jia-bin; DING Xing-tao

doi:10.13873/j.1000-9787(2018)11-0155-03

Chinese

您当前的位置：

首页 >

文章列表页 >

Identity authentication protocol based on ECG feature in WBAN

更新时间：2025-09-11

- Identity authentication protocol based on ECG feature in WBAN
- Vol. 37, Issue 11, Pages: 155-157+160(2018)
- 作者机构：
  
  上海工程技术大学电子电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2018)11-0155-03
  CLC： TN92
- Published：2018
- 稿件说明：
移动端阅览
[1]朱淑文,钟伯成,王加宾,丁邢涛.无线体域网中基于心电特征的身份认证协议[J].传感器与微系统,2018,37(11):155-157+160.

ZHU Shu-wen, ZHONG Bo-cheng, WANG Jia-bin, et al. Identity authentication protocol based on ECG feature in WBAN[J]. 2018, 37(11): 155-157+160.
[1]朱淑文,钟伯成,王加宾,丁邢涛.无线体域网中基于心电特征的身份认证协议[J].传感器与微系统,2018,37(11):155-157+160. DOI： 10.13873/j.1000-9787(2018)11-0155-03.

ZHU Shu-wen, ZHONG Bo-cheng, WANG Jia-bin, et al. Identity authentication protocol based on ECG feature in WBAN[J]. 2018, 37(11): 155-157+160. DOI： 10.13873/j.1000-9787(2018)11-0155-03.

摘要

采用将心电图（ECG）特征编码表征为整数集合的方法

提出了一种基于心电集合的门限匹配算法

实现用户终端对云服务器的验证;提出在基于全球定位系统（GPS）认证协议的基础上

设计了用心电特征作为认证私钥的双向认证协议

实现了用户终端和医疗云服务器认证。通过对协议的正确性、安全性和效率分析表明:提出的协议满足医疗无线体域网（WBAN）的认证需求。

Abstract

A method for electrocardiograph（ECG） features coding representing as integer set is introduced. By using this method

an algorithm of threshold matching based on ECG set is proposed

based on GPS authentication protocol

a two-way authentication protocol with ECG feature as authentication private key is designed to realize the authentication of the user terminal and medical cloud server.Analysis of correctness

security and efficiency of the protocol show that the protocol meets the authentication requirements of the medical wireless body area network（WBAN）.

关键词

Keywords

references

安全协议[M]. 清华大学出版社 , 冯登国, 2010

Views

135

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

WBAN node data compression energy-saving method

Energy-efficient power control and distributed scheduling algorithm for WBAN

Research status and prospects of WBAN technologies

Related Author

ZHOU Yue-bin

CHEN Jia-shun

MA He-he

JIA Yan-yan

XIE Zhi-jun

JING Zhen

DENG Shi-zhou

GAO Wei-dong

Related Institution

School of Mechanical and Automotive Engineering,Hubei University of Arts and Science

School of Machinery and Automation, Wuhan University of Science and Technology

Faculty of Electrical Engineering and Computer Science,Ningbo University

People’s Hospital,Peking University

Potevio Institute of Technology Co Ltd

⁰