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Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
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An Order-Preserving Encryption Scheme Based on Weighted Random Interval Division for Ciphertext Comparison in
Ruowei Gui1, Liu Yang2, Xiaolin Gui1,2
1Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Sensors (Basel, Switzerland)
|October 27, 2022
Summary
This study introduces a new order-preserving encryption scheme (WRID-OPES) for wearable health data. It enables secure comparison of diverse data types, protecting privacy in health management.
Area of Science:
- Computer Science
- Cryptography
- Health Informatics
Background:
- Wearable devices generate vast health data, revolutionizing medical treatments but posing privacy risks.
- Existing order-preserving encryption methods struggle with diverse data types (integers, floats, strings).
- A lightweight, versatile order-preserving encryption scheme is needed for secure health data analysis.
Purpose of the Study:
- To propose a novel order-preserving encryption scheme (WRID-OPES) supporting multiple data types.
- To ensure privacy-preserving data comparison for aggregated health information.
- To develop a scheme resistant to common cryptographic attacks.
Main Methods:
- Developed a Weighted Random Interval Division (WRID) based order-preserving encryption scheme (WRID-OPES).
- Converted various data types (integers, floats, strings) into hexadecimal strings.
- Employed a blocking, recombination, and weighted encryption strategy based on hexadecimal digit frequency.
Main Results:
- WRID-OPES successfully performs order-preserving encryption on multiple data types.
- The scheme achieves indistinguishability under ordered selection plaintext attack (IND-OCPA) security.
- Security analysis confirms resistance to exhaustive and statistical attacks with linear encryption time and low ciphertext expansion.
Conclusions:
- WRID-OPES offers a robust solution for secure health data management from wearable devices.
- The scheme effectively balances data utility with privacy protection for comparative analysis.
- This contributes a lightweight and versatile encryption method for modern health informatics.
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