Bio-Hash Secured Hardware e-Health Record System

IEEE Trans Biomed Circuits Syst. 2023 Jun;17(3):420-432. doi: 10.1109/TBCAS.2023.3263177. Epub 2023 Jul 12.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Biometry
  • Computers
  • Data Compression*
  • Humans
  • Telemedicine*