An efficient framework to preserve privacy for content based image retrieval in cloud environment

Abstract

In recent years, technological advancements have transformed the newlinelandscape of digital imaging, particularly in the areas of processing and newlinemanaging a variety of digital image formats. This rapid evolution encompasses newlineeverything from everyday photographs taken with personal cameras to intricate newlinemedical scan images. As digital imaging proliferates, there is an increasing newlinereliance on cloud storage solutions for managing this vast array of image data. newlineAs a result, there is a growing need for effective and safe ways to find images. newlineThis requires new methods to protect private information while making sure it newlineremains easy to access and use. newlineThis research introduces a comprehensive framework designed to newlineoptimize image encryption and retrieval in cloud storage environments. newlineFundamental to this framework are the critical challenges surrounding privacy, newlinesecurity, and efficiency in Content-Based Image Retrieval (CBIR) systems. newlineCBIR systems retrieve images based on their intrinsic content rather than newlinerelying solely on metadata or keywords. This approach not only enhances the newlineprecision of image searches but also necessitates robust security measures to newlineprotect user data in the increasingly vulnerable cloud environment. At the core newlineof this proposed solution is a novel methodology that leverages advanced newlinecryptographic techniques to fortify the security of images stored in the cloud. newlineThe research uses chaotic map-based encryption along with advanced newlineindexing methods to strengthen protection against unauthorized access. The newlinechaotic mapping approach introduces significant complexity into the newlineencryption process, rendering it more resistant to diverse attack scenarios. This newlinegreatly improves the safety and reliability of the encrypted images, making sure newlinethat important information stays protected from possible cyber threats. newline