基于虹膜生物特征的WSNs访问认证方法研究

陈英; 葛杨铭; 杨丰玉

doi:10.13873/J.1000-9787(2016)08-0060-03

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基于虹膜生物特征的WSNs访问认证方法研究

研究与探讨 | 更新时间：2025-09-11

- 基于虹膜生物特征的WSNs访问认证方法研究
- Research on access and authentication method for WSNs based on iris biological feature
- 传感器与微系统 2016年35卷第8期页码：60-62+66
- 作者机构：
  
  南昌航空大学软件学院
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（61501217）;江西省教育厅科技计划项目（GJJ14542）;南昌航空大学博士启动金项目（EA201520009）
- DOI：10.13873/J.1000-9787(2016)08-0060-03
  中图分类号： TN929.5;TP212.9;TP391.41
- 纸质出版：2016
- 稿件说明：
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[1]陈英,葛杨铭,杨丰玉.基于虹膜生物特征的WSNs访问认证方法研究[J].传感器与微系统,2016,35(08):60-62+66.

CHEN Ying, GE Yang-ming, YANG Feng-yu. Research on access and authentication method for WSNs based on iris biological feature[J]. 2016, 35(8): 60-62+66.
[1]陈英,葛杨铭,杨丰玉.基于虹膜生物特征的WSNs访问认证方法研究[J].传感器与微系统,2016,35(08):60-62+66. DOI： 10.13873/J.1000-9787(2016)08-0060-03.

CHEN Ying, GE Yang-ming, YANG Feng-yu. Research on access and authentication method for WSNs based on iris biological feature[J]. 2016, 35(8): 60-62+66. DOI： 10.13873/J.1000-9787(2016)08-0060-03.

摘要

提出了一种基于虹膜生物特征的访问认证方法。该方法引入第三方服务器对用户身份进行认证

认证的过程除了对用户ID和消息时效性进行认证外

更重要的是根据用户的系列虹膜图像对其进行活体身份验证

在实现认证的同时也采用加密的方式保证了用户生物特征模板的隐私性;该方法也实现了用户和网关节点的双向认证

有效地保证了网络资源的安全性。理论分析结果表明:相对传统的访问认证方法

该方法所提出的方法具有更高的安全性能。

Abstract

On the basis of analysis of access authentication of wireless sensor networks（ WSNs） and pointing out its shortcomings

propose an access authentication method based on iris biological feature. The proposed method introduces a third-party server to identity user’s authentication

which includes user ID and message timeliness authentication

most important of all is to identify liveness of user according to user ’s series iris images

and ensure user’s privacy of biologicat feature templet through encrypted. Moreover

the proposed method also realizes mutual authentication between gateway node and user

which can guarantee security of network resources effectively. Theoretical analysis results show that the proposed method has higher safety performance than traditional access authentication methods.

关键词

Keywords

references

A Biometric-Based User Authentication for Wireless Sensor Networks [J]. YUAN Jianjun, JIANG Changjun, JIANG Zuowen School of Electronics and Information Engineering, Tongji University / Key Laboratory of Embedded System and Service Computing of Ministry of Education, Shanghai 201804, China. Wuhan University Journal of Natural Sciences . 2010(03)

虹膜定位和识别算法的研究 [D]. 陈英. 吉林大学 2014

序列虹膜图像质量评价的研究 [D]. 陈英. 吉林大学 2006

Robust iris segmentation algorithm based on self-adaptive Chan–Vese level set model [J] . Ying Chen,Yuanning Liu,Xiaodong Zhu. Journal of Electronic Imaging . 2015 (4)

Receiver-initiated medium access control protocols for wireless sensor networks [J] . Xenofon Fafoutis,Alessio Di Mauro,Madava D. Vithanage,Nicola Dragoni. Computer Networks . 2015

A robust anonymous biometric-based remote user authentication scheme using smart cards [J] . Ashok Kumar Das,Adrijit Goswami. Journal of King Saud University - Computer and In . 2015 (2)

SecLooCI: A comprehensive security middleware architecture for shared wireless sensor networks [J] . Jef Maerien,Sam Michiels,Danny Hughes,Christophe Huygens,Wouter Joosen. Ad Hoc Networks . 2014

TC-BAC: A trust and centrality degree based access control model in wireless sensor networks [J] . Junqi Duan,Deyun Gao,Chuan Heng Foh,Hongke Zhang. Ad Hoc Networks . 2013 (8)

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