Jul 2026· Genetics and Molecular Research· 0 citations· 3 references
TL;DR
Experimental results demonstrate strong resistance to tampering, efficient processing time, and high imperceptibility in steganographic embedding, making the system suitable for secure healthcare applications.
Abstract
The rapid digitization of healthcare systems has significantly increased the exposure of sensitive medical data to cyber threats. This paper presents a comprehensive and secure framework for protecting medical information by integrating hybrid cryptography, steganography, and blockchain technology. The proposed system utilizes Advanced Encryption Standard in Galois/Counter Mode (AES-GCM) and the SM4 block cipher to implement a dual-layer encryption mechanism that ensures both confidentiality and data integrity [2], [3]. Encrypted data is further concealed within carrier images using Least Significant Bit (LSB) steganography, preventing detection of sensitive information during transmission [4]. Additionally, a custom blockchain is employed to maintain an immutable audit trail of all system activities, enhancing transparency and accountability [5]. The system is implemented using Python, Flask, SQLite, and supporting libraries, and is evaluated based on performance, security, and robustness. Experimental results demonstrate strong resistance to tampering, efficient processing time, and high imperceptibility in steganographic embedding, making the system suitable for secure healthcare applications.
A novel blockchain-based secure framework with the integration of Ethereum smart contracts, CBOR compression, AES-256 GCM encryption, and SHA-256 validation is proposed with the integration of Ethereum smart contracts, CBOR compression, AES-256 GCM encryption, and SHA-256 validation.
Vinita Hari Patil, S. Kolhe· Journal of Intelligent Decis...· 0 citations
Overall, the proposed solution enhances interoperability, auditability, and automation while ensuring data privacy and security, demonstrating its viability across various blockchain networks.
A. Kashmar, A. I. Shihab· Iraqi Journal of Science· 0 citations
The findings demonstrate that the framework addresses IoMT security and privacy limitations by combining hybrid encryption with decentralized blockchain technology, providing a scalable, efficient, tamper-resistant, and trustworthy solution for next generation healthcare systems.
This review evaluates quantum-resilient security mechanisms, including Quantum Key Distribution, Quantum Random Number Generation, and NIST-standardized Post-Quantum Cryptography (PQC) algorithms specified in FIPS 203, FIPS 204, and FIPS 205, and proposes a novel four-layer Quantum-Blockchain Security Architecture (QBS...
A blockchain-based framework designed to protect the privacy of healthcare insurance data using optimized Elliptic Curve Cryptography (ECC) is introduced, which provides a practical and scalable solution for sharing healthcare information securely in today's insurance environments.
Karimuddin Mahammad Sadhik, R. V., Ravi Kiran K· International Journal of Inn...· 0 citations
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