New Original Research
GAHBT: Genetic Based Hashing Algorithm for Managing and Validating Health Data Integrity in Blockchain Technology
Authors
Fozia Hanif, Urooj Waheed, Rehan Shams, Aisha Shareef
https://doi.org/10.30953/bhty.v6.244
Authors propose a method for
managing, securing, and validating health data distribution records using a genetic-based hashing algorithm in a decentralized environment. The technology approach provides an efficient surveillance measures for transparency of record, fraud immunity, and protection to tempering and sustaining the order of data. The research provides a genetic-based hashing algorithm for data security which has lower computational complexity, low space coverage, higher security and integrity, and a high
avalanche effect. The simulation will show data records' validity, immunity, and integrity. The technique modified in this secure decentralized network is a cryptographic hashing algorithm for 512 bits. The genetic algorithm proposed is used to generate a key that needs to be used in the encryption and decryption of medical data. Applications of genetic algorithms can be used in many medical fields such as radiology, oncology, cardiology, endocrinology, surgery, oncology, and radiotherapy in
health care management.
Additionally, the proposed algorithm can be safely and effectively utilized in sharing private and sensitive healthcare information in environments such as health systems, clinics, hospitals, and family members.
To learn details, please visit https://doi.org/10.30953/bhty.v6.244
