Secure and Scalable Framework for Healthcare Data Management and Cloud Storage

Abstract

The critical importance of enforcing effective security measures in health systems with the increasing cloud computing usage highlights the growing concern on protecting sensitive patient information. Complications in existing systems involve even higher computational costs of encryption incurred due to poor authentication mechanisms exposed to data breaches. This study aims to collect healthcare data from hospitals and patients, to ensure its confidentiality, and store the data securely in cloud storage for efficient and protected access. The data is collected from hospitals and patients, followed by detection of outliers for the subsequent elimination of discrepancies. The sensitive nature of the data will be secured by applying the Triple Data Encryption Standard (3DES) encryption, while OAuth will provide resourceful authentication. The encrypted data are stored for scalability access in cloud storage. The results indicate that in increasing data size, the time taken for an encryption also seems to increase from 10 seconds at 40 KB to 55 seconds at 120 KB and throughput, peaking at 0.5 req/s at the request rate of 0.6. The study improves data security, boosts system performance, and improves scalability in cloud-based healthcare systems, thus providing the best solution for problems that challenge the systems today