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author:

Yang, Yang (Yang, Yang.) [1] | Zheng, Xianghan (Zheng, Xianghan.) [2] (Scholars:郑相涵) | Liu, Ximeng (Liu, Ximeng.) [3] (Scholars:刘西蒙) | Zhong, Shangping (Zhong, Shangping.) [4] (Scholars:钟尚平) | Chang, Victor (Chang, Victor.) [5]

Indexed by:

EI Scopus SCIE

Abstract:

Electronic health (e-health) social system provides an effective way for the patients to share their treatment experience, exchange medical information and build a supportive relationship. In this paper, we propose a novel symptom-matching based group key management scheme for the e-health social system supporting dynamic group membership change. The patients in this system are diagnosed and treated by different medical institutions. This proposed schemes allows a group of patients from different healthcare domains (cross-domain) to securely establish a group session key to protect the group disease discussion. The scheme supports patient anonymity and traceability since the identities of the patients are hidden in an anonym and their medical institution is able to recover the real identity. The group agreement protocol ensures that only the authenticated patient with the same symptom could derive the group session key. The privacy of patient's symptom is also protected since the patient cannot know the other patients' symptoms if they do not have the same symptom. The security of this scheme is proved and the performance is evaluated theoretically and experimentally. The simulation and comparison indicate that our scheme has good performance and suitable for the mobile e-health social system. (C) 2017 Elsevier B.V. All rights reserved.

Keyword:

Anonymous Authenticated group key management Dynamic group e-health social network Symptom-matching

Community:

  • [ 1 ] [Yang, Yang]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Zheng, Xianghan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Liu, Ximeng]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China
  • [ 4 ] [Zhong, Shangping]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China
  • [ 5 ] [Yang, Yang]Fuzhou Univ, Univ Key Lab Informat Secur Network Syst, Fuzhou 350116, Fujian, Peoples R China
  • [ 6 ] [Liu, Ximeng]Fuzhou Univ, Univ Key Lab Informat Secur Network Syst, Fuzhou 350116, Fujian, Peoples R China
  • [ 7 ] [Zhong, Shangping]Fuzhou Univ, Univ Key Lab Informat Secur Network Syst, Fuzhou 350116, Fujian, Peoples R China
  • [ 8 ] [Yang, Yang]Minjiang Univ, Fujian Prov Key Lab Informat Proc & Intelligent C, Fuzhou 350121, Fujian, Peoples R China
  • [ 9 ] [Chang, Victor]Xian Jiaotong Liverpool Univ, IBSS, Suzhou 215123, Peoples R China

Reprint 's Address:

  • 郑相涵

    [Zheng, Xianghan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China

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Source :

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

ISSN: 0167-739X

Year: 2018

Volume: 84

Page: 160-176

5 . 7 6 8

JCR@2018

6 . 2 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:174

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 44

SCOPUS Cited Count: 42

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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