FUSION - SCALABLE KEY SPACE IMAGE ENCRYPTION FOR ENHANCED BRUTE-FORCE ATTACK RESISTANCE

Abstract

This paper introduces a novel method that leverages multiple random fusion (RMF) based image encryption techniques to address the demands of high-security applications. In cloud-based privacy-preserving systems for gray-level medical im- ages for health care combine the power of encryption and cloud storage capacity. Inspired by ancient practices of safeguarding wealth by burying it deeply and con- cealing the location as secret keys, this scheme is designed to be scalable. The number of keys required is decided by specific security needs, considering computa- tional resource and encryption time constraints. The method begins by randomly shuffling image blocks or pixels using secure keys or nonlinear transformations such as chaotic maps. Following this, random fusion operations are performed, including shadowing using high-energy signals and adjusting variance to achieve a uniform probability density function. This approach ensures that information leakage is prevented. It is tested for a highest number of key values of 2⁸⁰⁰⁰⁰ or approximately 10²⁴⁰⁰⁰, with comparable values of statistical performance parameters. This high key space enhances robustness against brute-force attacks and can be integrated with other encryption methods to provide a general, scalable, and highly secure solution for applications where security is paramount.