A ROBUST LAYERED INTELLIGENT FRAMEWORK FOR SECURING EYE DISEASE DATA THROUGH THE FUSION OF CRYPTOGRAPHY AND STEGANOGRAPHIC TECHNIQUES

Abstract

In today’s digital age, ensuring the security and privacy of medical information has become increasingly crucial—especially in the healthcare sector, where sensitive data is frequently stored and transmitted electronically. This research introduces a hybrid security framework designed to protect eye disease data through the combined use of cryptography and steganography. The goal is to strengthen data protection measures beyond the limitations of traditional single-layer security systems. Since eye disease datasets often contain both personal identifiers and critical health records, they are particularly vulnerable to cyber threats such as identity theft, data breaches, and unauthorized misuse. By merging cryptographic methods, which transform data into an unreadable form, with steganographic techniques, which embed the encrypted data within ordinary digital files, this study establishes a comprehensive dual-layer defense for safeguarding sensitive ophthalmic information.

Keywords

Eye disease data, data security, steganography, hybrid security approach, medical data protection