Transforming Healthcare Data Management: A Malleable Blockchain Approach
with Chameleon Hash Algorithm for Multimedia Image Data
- Shrabani Sutradhar,
- Rajesh Bose,
- Sudipta Majumder,
- Muhammad Faheem,
- Sandip Roy,
- Arfat Ahmad Khan
Abstract
Highlighting the diverse applications, from real-time patient monitoring
to pharmaceutical advancements, blockchain technology brings a
transformative impact to the healthcare sector. This research explores
the integration of the "Digital Medical Wallet" System with Malleable
Blockchain to revolutionize healthcare data management, particularly
focusing on multimedia image data. Employing the Chameleon Hash
Algorithm for privacy and integrity, the study compares its performance
with Traditional Hashing and evaluates modifiable versus classical
blockchains. Simulations reveal trade-offs between execution time and
privacy preservation for hashing methods, and scalability versus energy
consumption for blockchain types. Results suggest Chameleon Hashing
enhances privacy but incurs higher computational costs, while malleable
blockchains offer scalability at the expense of complexity and energy
usage. These findings provide actionable insights for designing secure
and efficient healthcare data systems, balancing privacy, efficiency,
and scalability for improved patient care and healthcare efficiency,
especially in handling multimedia image data.