Privacy-Preserving Health Data Collection for Preschool Children

被引:3
|
作者
Guan, Shaopeng [1 ,2 ]
Zhang, Yuan [2 ]
Ji, Yue [3 ]
机构
[1] Shandong Inst Business & Technol, Key Lab Intelligent Informat Proc Univ Shandong, Yantai 264005, Peoples R China
[2] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Jiangsu, Peoples R China
[3] Nanjing Normal Univ, Presch Educ Dept, Nanjing 210097, Jiangsu, Peoples R China
关键词
WIRELESS SENSOR NETWORKS; PRESERVATION; ALGORITHMS; RECORDS; TRUST;
D O I
10.1155/2013/501607
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
With the development of network technology, more and more data are transmitted over the network and privacy issues have become a research focus. In this paper, we study the privacy in health data collection of preschool children and present a new identity-based encryption protocol for privacy protection. The background of the protocol is as follows. A physical examination for preschool children is needed every year out of consideration for the children's health. After the examination, data are transmitted through the Internet to the education authorities for analysis. In the process of data collection, it is unnecessary for the education authorities to know the identities of the children. Based on this, we designed a privacy-preserving protocol, which delinks the children's identities from the examination data. Thus, the privacy of the children is preserved during data collection. We present the protocol in detail and prove the correctness of the protocol.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Interval Privacy: A Framework for Privacy-Preserving Data Collection
    Ding, Jie
    Ding, Bangjun
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 : 2443 - 2459
  • [2] Socially Privacy-Preserving Data Collection for Crowdsensing
    Yang, Guang
    He, Shibo
    Zhang, Junshan
    Shi, Zhiguo
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (01) : 851 - 861
  • [3] Data Protection: Privacy-Preserving Data Collection With Validation
    Hou, Jiahui
    Liu, Dongxiao
    Huang, Cheng
    Zhuang, Weihua
    Shen, Xuemin
    Sun, Rob
    Ying, Bidi
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2024, 21 (04) : 3422 - 3438
  • [4] An anonymization-based privacy-preserving data collection protocol for digital health data
    Andrew, J.
    Eunice, R. Jennifer
    Karthikeyan, J.
    FRONTIERS IN PUBLIC HEALTH, 2023, 11
  • [5] PDA: Privacy-Preserving Data Aggregation for Information Collection
    He, Wenbo
    Liu, Xue
    Hoang Viet Nguyen
    Nahrstedt, Klara
    Abdelzaher, Tarek
    ACM TRANSACTIONS ON SENSOR NETWORKS, 2011, 8 (01)
  • [6] Impact of social learning on privacy-preserving data collection
    Akbay A.B.
    Wang W.
    Zhang J.
    Akbay, Abdullah Basar (aakbay@asu.edu), 1600, Institute of Electrical and Electronics Engineers Inc. (02): : 268 - 282
  • [7] A privacy-preserving data collection model for digital community
    Li HongTao
    Ma JianFeng
    Fu Shuai
    SCIENCE CHINA-INFORMATION SCIENCES, 2015, 58 (03) : 1 - 16
  • [8] PRIVACY-PRESERVING DATA COLLECTION AND RECOVERY OF COMPRESSIVE SENSING
    Hung, Tsung-Hsuan
    Hsieh, Sung-Hsien
    Lu, Chun-Shien
    2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING, 2015, : 473 - 477
  • [9] A privacy-preserving data collection model for digital community
    LI HongTao
    MA JianFeng
    FU Shuai
    Science China(Information Sciences), 2015, 58 (03) : 36 - 51
  • [10] A new secure arrangement for privacy-preserving data collection
    Song, Jingcheng
    Han, Zhaoyang
    Wang, Weizheng
    Chen, Jingxue
    Liu, Yining
    COMPUTER STANDARDS & INTERFACES, 2022, 80