Dynamic smart random preference for higher medical image confidentiality
It is essential to secure the information to store or transfer digital files without destruction. Currently, all used e-data requests to be utilized in well-controlled, protected, and dependable style avoiding breaches and hacking. This research focuses on image security encrypting grayscale images for comfortable safe utilization. The work depends on resilience randomization and XOR operations for its image cryptography. It tests performance of several pseudo random number generators assigning the best every time running that is flexibly changing depending on e-image variations. The research implements several randomizations schemes processed as two sequenced encryption methods adopting substitution and transposition. All PRNGs are tested to encrypt grayscale images revealing attractive remarks. The paper investigation intends to recognize appropriateness and trustworthiness via secrecy testing typical notations. The work indicates this flexibility of best applicable PRNG and its change features interesting privacy intellectual image security for open research direction to benefit from.