Computer Science ›› 2015, Vol. 42 ›› Issue (4): 119-122.doi: 10.11896/j.issn.1002-137X.2015.04.023

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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

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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