Engineering World
E-ISSN: 2692-5079 An Open Access, Peer Reviewed Journal of Selected Publications in Engineering and Applied Sciences
Volume 6, 2024
An Efficient Multilayer approach for Securing E-Healthcare Data in Cloud using Crypto – Stego Technique
Authors: ,
Abstract: Healthcare data has been moving to cloud platforms in recent years, which has increased accessibility and
scalability but also raised security issues. Ensuring data integrity and safeguarding private health information from
unwanted access are critical. This paper presents a comprehensive strategy to integrate effective Elliptic Curve
Cryptography ECC-AES with steganography techniques to improve the security of healthcare data in the cloud. ECCAES
is especially well-suited for cloud situations with limited resources since it provides strong security with reduced
key sizes. Confidentiality is guaranteed by encrypting healthcare data using ECC- AES before storage, reducing the
possibility of data breaches. Steganography techniques are also integrated to improve security against skilled adversaries
by adding an extra degree of obfuscation by concealing encrypted data inside innocuous files or images. Strict key
management procedures, access control systems, and frequent security audits are important components of the proposed
system that ensure adherence to Health Insurance Portability and Accountability Act (HIPAA) and General Data
Protection Regulation (GDPR) compliance requirements pertaining to healthcare data protection. Programs for employee
awareness and training are also crucial for reducing the likelihood of human mistakes. Healthcare businesses can safely
use cloud technology while protecting patient data integrity and privacy by putting in place multi-layered security
safeguards. The proposed system provides the multilayer security on healthcare data in cloud environment than other
existing systems.
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Keywords: ECC, AES, Healthcare Data, Cloud Computing, Cryptography, Steganography, Encryption, Data Privacy
Pages: 128-135
DOI: 10.37394/232025.2024.6.13