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GAHBT: Genetic-Based Hashing Algorithm for Managing and Validating Health Data Integrity in Blockchain Technology.

Fozia Hanif¹, Urooj Waheed², Rehan Shams³

¹Department of Mathematics, University of Karachi, Karachi, Pakistan.

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|February 17, 2023

Summary

This summary is machine-generated.

This study introduces a genetic-based hashing algorithm for secure health data management on a blockchain. This method enhances data integrity, security, and transparency while reducing computational complexity for medical research applications.

Keywords:

blockchain decentralized technology genetics hashing health data distribution security surveillance

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Area of Science:

Health Informatics
Cryptography
Bioinformatics

Background:

Decentralized systems offer enhanced security for sensitive data.
Blockchain technology provides a transparent and immutable ledger for transactions.
Traditional hashing algorithms may face challenges in computational complexity and security for large datasets.

Purpose of the Study:

To develop and evaluate a novel genetic-based hashing algorithm for securing health data distribution records.
To leverage blockchain technology for a secure, transparent, and tamper-proof health data management system.
To assess the efficiency, security, and integrity of the proposed algorithm in a decentralized environment.

Main Methods:

A genetic algorithm (GA) was employed to generate cryptographic keys for encryption and decryption.
A 512-bit cryptographic hashing algorithm was modified for use in a secure decentralized network.
The system utilizes blockchain to manage, secure, and validate health data distribution records.

Main Results:

The genetic-based hashing algorithm demonstrated lower computational complexity and reduced space coverage.
The proposed method achieved higher security and data integrity with a significant avalanche effect.
Simulations confirmed the validity, immunity from fraud, and integrity of the data records.

Conclusions:

The genetic-based hashing algorithm offers a robust solution for securing health data in decentralized environments.
This approach enhances data protection against manipulation and corruption, ensuring reliable medical research.
The integration of GA-generated keys with blockchain provides a secure and efficient framework for healthcare data management.