计算机科学 ›› 2015, Vol. 42 ›› Issue (4): 119-122.doi: 10.11896/j.issn.1002-137X.2015.04.023

• 信息安全 • 上一篇    下一篇

基于移动医疗社交网络的多病症隐私保护匹配协议

杨召唤,刘树波,李永凯,蔡朝晖   

  1. 武汉大学空天信息安全与可信计算教育部重点实验室 武汉430072;武汉大学计算机学院 武汉 430072,武汉大学空天信息安全与可信计算教育部重点实验室 武汉430072;武汉大学计算机学院 武汉 430072,武汉大学空天信息安全与可信计算教育部重点实验室 武汉430072;武汉大学计算机学院 武汉 430072,武汉大学空天信息安全与可信计算教育部重点实验室 武汉430072
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家重点基础研究发展计划(973)(2011CB302306),国家自然科学基金资助

Symptoms Privacy-preserving Matching Protocol for m-Healthcare Social Network

YANG Zhao-huan, LIU Shu-bo, LI Yong-kai and CAI Chao-hui   

  • Online:2018-11-14 Published:2018-11-14

摘要: 随着无线体域网技术的快速发展,移动医疗社交网络作为一个前景广阔的移动健康监测系统应运而生。然而,当前移动医疗社交网络中还存在一些隐私安全问题,例如,当选择病症匹配的对象时如何确保患者的隐私不泄露,以及如何确保对象间通信时的私密性。首先提出了一个匹配度量函数计算协议,通过这个协议患者可以根据需要隐秘地选择病症匹配的对象。此外,在匹配度量函数计算协议的基础上,提出了一个基于多病症匹配的密钥协商协议,这个协议能够在对象病症匹配成功的情况下进行认证并生成共享会话密钥,以满足对象间通信时隐私保护的需要。

关键词: 移动医疗社交网络,隐私保护,匹配度量函数,多病症匹配,密钥协商

Abstract: With the rapid development of wireless body area network,m-healthcare social network has emerged as a promising mobile healthcare system.However,m-healthcare social network produces some privacy security issues currently,e.g.,how to ensure the privacy of patients when matching patients with the same symptoms and how to ensure communication privacy between objects.We first proposed a matching metric function calculates protocol.The patient can secretly select the matching patient with the same symptoms according to the patient’s requirement through this protocol.Besides,we proposed a symptoms-matching-based key agreement protocol based on the matching metric function calculation protocol.In order to meet the needs of privacy-preserving when patients are communicating,this protocol can authenticate and compute the shared session key under the condition of successful symptoms-matching.

Key words: m-Healthcare social network,Privacy-preserving,Matching metric function,Symptoms-matching,Key agreement

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