English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 93218/123590 (75%)
Visitors : 27743483      Online Users : 138
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/104952
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/104952

    Title: Privacy-Preserving Data Communication Through Secure Multi-Party Computation in Healthcare Sensor Cloud
    Authors: Tso, Raylin;Alelaiwi, Abdulhameed;Rahman, Sk Md Mizanur;Wu, Mu-En;Hossain, M. Shamim
    Contributors: 資科系
    Keywords: Access control;Aluminum;Computation theory;Convolutional codes;Cryptography;Digital storage;Health care;Hospital data processing;Law enforcement;Sensor networks;Sensor nodes;Wireless sensor networks;Cryptographic techniques;Distributed database;Distributed environments;FairplayMP;Health care application;Lightweight encryption;Medical sensor networks;Secure multi-party computation;Data privacy
    Date: 2017-10
    Issue Date: 2016-12-15 16:17:25 (UTC+8)
    Abstract: In recent years, wireless medical sensor networks meet the web to enable exciting healthcare applications that require data communication over the Internet. Often these applications suffer from data disclosure due to malicious users’ activities. To prevent such data disclosure in the healthcare systems, many public key cryptographic techniques have been used. However, most of them are too expensive to implement in the web-enabled wireless medical sensor networks. In 2013, Xun et al. introduced a lightweight encryption algorithm to protect communication between the sensor node and the data servers. Their scheme is based on the Sharemind framework. However, Sharemind framework has a limitation on the number of data storage servers (ie., three servers only). In addition, Xun et al’s scheme does not support privacy-preserving patient data analysis for distributed databases of different hospitals. In this paper, we introduce a new practical approach to prevent data disclosure from inside attack. Our new proposal is based on FairplayMP framework which enables programmers who are not experts in the theory of secure computation to implement such protocols. In addition, it support any number of n participants and is suitable for distributed environments. Moreover, in our new scheme, each sensor node needs only one secret key stored in advance to communicate with n different data servers, whereas three secret keys are embedded in advance into each sensor in order to communicate with three data servers in Xun et al’s scheme.
    Relation: Journal of Signal Processing Systems,Volume 89, Issue 1, pp 51–59
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/s11265-016-1198-2
    DOI: 10.1007/s11265-016-1198-2
    Appears in Collections:[資訊科學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    11265-016-1198-2.pdf794KbAdobe PDF471View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback