Bio-Hash Secured Hardware e-Health Record System

被引:0
|
作者
Sravani, M. M. [1 ]
Durai, S. Ananiah [1 ]
机构
[1] Ctr Nanoelect & VLSI Design, VIT Chennai, Sch Elect Engn, Chennai 600127, India
关键词
AES; bio-hash; fusion; health record; SHA-3; ACCESS-CONTROL; AUTHENTICATION; IMPLEMENTATION; BLOCKCHAIN; FRAMEWORK; PRIVACY; SHA-3;
D O I
10.1109/TBCAS.2023.3263177
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Dual securing strategy for all-hardware e-Health Record System is designed and developed for improved security and reduced Hardware Execution Time (HET). A compact novel Hashed Minutiae Random Fusion (HMRF) logic enables to achieve high irreversibility and increased non-reconstruction capability of the bio-template based Bio-Hash key. AES encryption of the patient's health data during Write mode and decryption during View mode are seamlessly performed through the lively generated key, yielding low HET through optimized slack. On the other hand, biometric controlled key retrieval during Read only mode for a single user access is performed on the pre-scrambled Bio-Hash key, to enable bypassed decryption (direct) of the Patient's health data for self-review. The proposed pseudo cascaded SHA-3 (Secured Hash Algorithm) architecture being the first stage in HMRF, hashes the biometric minutiae of both Patient (P) and Medical Practitioner (MP) with low Latency. Thus, facilitating in further lowering of the HET by reducing the clock count by one. The subsequent Random Compression Logic (RCL) skims the hashed value from 512 to 128 bits along with the help of priority compression logic (PCL) to achieve reduced bits handling thereby lowering the Power budget. Four fusion modes are leveraged to achieve better randomization and non-recoverability. Implementation of this HMRF logic on Virtex-7 (V7) FPGA device has yielded low Area of 4191 slices. Lesser Area of 11.6% is observed for this HMRF module compared to the reported design, excluding level shifter and PCL. Further, low HETs of 8.2/8.3/8.0 ns during Write/View/Read only modes respectively are being noticed. The dynamic Power dissipated for the three modes of operations are found to be 1.418/1.420/0.676 watts respectively.
引用
收藏
页码:420 / 432
页数:13
相关论文
共 50 条
  • [1] A Secured Model for Indian E-Health System
    Srivastava, Shilpa
    Agarwal, Namrata
    Pane, Millie
    Abraham, Ajith
    2013 9TH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY (IAS), 2013, : 96 - +
  • [2] Health record in the Age of e-Health
    Consorti, F.
    CLINICA TERAPEUTICA, 2011, 162 (06): : 585 - 589
  • [3] A Novel Certificateless Signcryption for e-Health Record System
    Xia, Yandong
    Huang, Rui
    Jin, Xin
    Zheng, Huiyao
    Ji, Sai
    2018 FIRST INTERNATIONAL COGNITIVE CITIES CONFERENCE (IC3 2018), 2018, : 231 - 235
  • [4] Implementing a Medical Record System with Biometrics Authentication in E-Health
    Azeta, Ambrose A.
    Iboroma, Da-Omiete A.
    Azeta, Victor I.
    Igbekele, Emmanuel. O.
    Fatinikun, Deborah O.
    Ekpunobi, Ebuka
    2017 IEEE AFRICON, 2017, : 979 - 983
  • [5] Smart Card based E-Health Record
    Selvi, J. Thamil
    Sunandha, S. N.
    Gayathri, V
    Kiruthiga, P.
    Sujitha, V
    JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS, 2022, 13 : 382 - 385
  • [6] SECURED ELECTRONIC HEALTH RECORD MANAGEMENT SYSTEM
    Azhagiri, M.
    Amrita, R.
    Aparna, R.
    Jashmitha, B.
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS (ICCES 2018), 2018, : 915 - 919
  • [7] Special Issue on Secured, Flexible Healthcare Service and Medical Data Processing in e-Health System
    Song, Jian
    Yang, Ji-Jiang
    INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS, 2013, 4 (04) : IV - VII
  • [8] Retraction Note to: Secured storage and disease prediction of E-health data in cloud
    Sundara Velrani Karuppiah
    Geetha Gurunathan
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (Suppl 1) : 223 - 223
  • [9] RETRACTED ARTICLE: Secured storage and disease prediction of E-health data in cloud
    Sundara Velrani Karuppiah
    Geetha Gurunathan
    Journal of Ambient Intelligence and Humanized Computing, 2021, 12 : 6295 - 6306
  • [10] E-health effort to combine electronic health record and genetics research
    Naditz, Alan
    TELEMEDICINE JOURNAL AND E-HEALTH, 2009, 15 (10): : 917 - 917