About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
IoT and Big Data Technologies for Health Care. Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings

Research Article

Research on Fast Encryption of Electronic Health Record Data Based on Privacy Protection

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-33545-7_18,
        author={Tianlin Fu and Juanfen Shi and Haipeng Ke},
        title={Research on Fast Encryption of Electronic Health Record Data Based on Privacy Protection},
        proceedings={IoT and Big Data Technologies for Health Care. Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings},
        proceedings_a={IOTCARE},
        year={2023},
        month={5},
        keywords={Privacy Protection Electronic Health Records Health Records Archival Data Fast Encryption Encryption Research},
        doi={10.1007/978-3-031-33545-7_18}
    }
    
  • Tianlin Fu
    Juanfen Shi
    Haipeng Ke
    Year: 2023
    Research on Fast Encryption of Electronic Health Record Data Based on Privacy Protection
    IOTCARE
    Springer
    DOI: 10.1007/978-3-031-33545-7_18
Tianlin Fu1, Juanfen Shi2, Haipeng Ke3,*
  • 1: College of Mathematics and Data Science, Minjiang University
  • 2: School of Electronic Engineering, Henan Information Engineering School
  • 3: Fujian Zhangzhou No.1 Vocational Secondary School
*Contact email: kehaipeng@163.com

Abstract

Electronic health records data has the characteristics of massive, multi-modal, heterogeneous, but electronic health records data is easy to be invaded, leading to the disclosure of patient personal information. Health record management systems often ignore the security problems when patients interact with other roles, and the traditional encryption methods have been difficult to effectively meet the security needs of modern privacy data. Therefore, a fast encryption method of electronic health record data based on privacy protection is proposed. Mainly through the combination of privacy protection and homomorphic encryption technology to achieve distributed user privacy data protection, the mining effect of privacy protection is effectively improved, and the data security is guaranteed. The effectiveness and practicability of this method in data privacy security protection are verified by experiments.

Keywords
Privacy Protection Electronic Health Records Health Records Archival Data Fast Encryption Encryption Research
Published
2023-05-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-33545-7_18
Copyright © 2022–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL