RC4 Technique Based Biomedical Cell Image Cryptography Investigation

Abstract

Song Jiang and Ela Kumar

Enormous data permeates various facets of social life, including public administration, community services, and scientific research, owing to the advent of new technologies. With the escalation of data transportation concerns, its significance in our daily lives has magnified. Particularly in the medical field, preserving information integrity during data transit has become an urgent priority. For instance, safeguarding massive electronic medical files like MRI images from cyberattacks and data loss poses a formidable challenge. Encryption and decryption techniques are employed as a solution. While numerous image types have undergone testing using cryptography techniques, biomedical images have received limited attention. In this article, We implemented RC4, pixel shuffling, and steganography to encrypt and decrypt cell images. Evaluating the encryption and decryption performance of these cell images involved testing cell viability, live/dead ratio, and morphology.

PDF