A Lightweight Encryption Scheme Combined with Trust Management for Privacy-Preserving in Body Sensor Networks

被引:12
|
作者
Guo, Ping [1 ]
Wang, Jin [1 ]
Ji, Sai [1 ]
Geng, Xue Hua [1 ]
Xiong, Neal N. [2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Jiangsu Engn Ctr, Network Monitoring, Coll Comp & Software, Nanjing, Jiangsu, Peoples R China
[2] Colorado Tech Univ, Colorado Springs, CO USA
基金
中国国家自然科学基金;
关键词
m-Healthcare; Body sensor Network (BSN); Privacy-preserving; Trust management; Lightweight encryption; ENERGY-EFFICIENT; ALGORITHM;
D O I
10.1007/s10916-015-0341-0
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
With the pervasiveness of smart phones and the advance of wireless body sensor network (BSN), mobile Healthcare (m-Healthcare), which extends the operation of Healthcare provider into a pervasive environment for better health monitoring, has attracted considerable interest recently. However, the flourish of m-Healthcare still faces many challenges including information security and privacy preservation. In this paper, we propose a secure and privacy-preserving framework combining with multilevel trust management. In our scheme, smart phone resources including computing power and energy can be opportunistically gathered to process the computing-intensive PHI (personal health information) during m-Healthcare emergency with minimal privacy disclosure. In specific, to leverage the PHI privacy disclosure and the high reliability of PHI process and transmission in m-Healthcare emergency, we introduce an efficient lightweight encryption for those users whose trust level is low, which is based on mix cipher algorithms and pair of plain text and cipher texts, and allow a medical user to decide who can participate in the opportunistic computing to assist in processing his overwhelming PHI data. Detailed security analysis and simulations show that the proposed framework can efficiently achieve user-centric privacy protection in m-Healthcare system.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Efficient and privacy-preserving authentication scheme for wireless body area networks
    Shuai, Mengxia
    Liu, Bin
    Yu, Nenghai
    Xiong, Ling
    Wang, Changhui
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2020, 52
  • [22] A Privacy-Preserving Friend Matching Scheme Based on Attribute Encryption in Mobile Social Networks
    Yu, Li
    Nan, Xingxing
    Niu, Shufen
    ELECTRONICS, 2024, 13 (11)
  • [23] Privacy-Preserving Authentication Scheme for Wireless Networks
    Hazazi, Manal
    Tian, Yuan
    Al-Rodhaan, Mznah
    2018 21ST SAUDI COMPUTER SOCIETY NATIONAL COMPUTER CONFERENCE (NCC), 2018,
  • [24] Collaborative Lightweight Trust Management Scheme for Wireless Sensor Networks
    X. Anita
    M. A. Bhagyaveni
    J. Martin Leo Manickam
    Wireless Personal Communications, 2015, 80 : 117 - 140
  • [25] Collaborative Lightweight Trust Management Scheme for Wireless Sensor Networks
    Anita, X.
    Bhagyaveni, M. A.
    Manickam, J. Martin Leo
    WIRELESS PERSONAL COMMUNICATIONS, 2015, 80 (01) : 117 - 140
  • [26] Lightweight Privacy-Preserving Passive Measurement for Home Networks
    Zhou, Xuzi
    Calvert, Kenneth L.
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 1019 - 1024
  • [27] Privacy-preserving encryption scheme using DNA parentage test
    Gritti, Clementine
    Susilo, Willy
    Plantard, Thomas
    Khin Than Win
    THEORETICAL COMPUTER SCIENCE, 2015, 580 : 1 - 13
  • [28] Privacy-Preserving H.264 Video Encryption Scheme
    Choi, SuGil
    Han, Jong-Wook
    Cho, Hyunsook
    ETRI JOURNAL, 2011, 33 (06) : 935 - 944
  • [29] A Privacy-Preserving Graph Encryption Scheme Based on Oblivious RAM
    Kane, Seyni
    Bkakria, Anis
    DATA AND APPLICATIONS SECURITY AND PRIVACY XXXVIII, DBSEC 2024, 2024, 14901 : 101 - 108
  • [30] Lightweight and Dynamic Privacy-Preserving Federated Learning via Functional Encryption
    Yu, Boan
    Zhao, Jun
    Zhang, Kai
    Gong, Junqing
    Qian, Haifeng
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 20 : 2496 - 2508