Securing Healthcare Data with Advanced Asymmetric Lattice Galois Encryption Standard in A Decentralized Blockchain Framework
K. Britto Alex, K. Selvan · International Journal of Basic and Applied Sciences · 2025
Securing sensitive data is essential to protect against unauthorized access, breaches, and privacy violations. A decentralized blockchain offers a robust solution by distributing data across multiple nodes, ensuring transparency, immutability, and enhanced protection, all without relying on a central authority. Several clinical datasets are available, covering a wide range of healthcare-associated data. Encryption and decryption, along with optimization, are techniques used to secure data by converting it into a form that is unintelligible without the precise key or algorithm. These processes play a crucial role in data protection and privacy. These datasets are invaluable for numerous applications, along with clinical studies, predictive analytics, system studies, and healthcare system optimization. The research presents an overall approach to a safe data management case study, which uses Kaggle datasets. The approach begins with preprocessing using the Z-score normalization method to ensure consistency in the dataset's dimensions. Use a data augmentation technique to expand the data range, thereby increasing the recording duration. Thereafter, an encryption scheme is implemented to maximize the security of the dataset. The encoded dataset is then placed in a decentralized blockchain, which allows for the effective utilization of its infrastructure for well-organized and efficient storage methods. The decryption process is facilitated by an AALGES Exchange mechanism, which securely retrieves the original data. Risk simulation occurs both before and after the data reaches the storage region, allowing for an evaluation of the system's resilience to stress. This is done in the Python platform. To examine the system's performance, it simulates the analysis in detail, specifically focusing on various aspects such as encryption and decryption speed, data storage capability, and minimum computational overhead.