ANALYTICAL AND INTEGRATED FRAMEWORK FOR PRIVACY PRESRVATION OF IMAGES IN CLOUD ECOSYSTEM
Chhaya Suryabhan Dule, Roopashree H R · Indian Journal of Computer Science and Engineering · 2023
Privacy preservation is always a potential concern while storing or transmitting images with sensitive information within them.A review of existing privacy preservation techniques shows the potential usage of deep learning, adoption of highly sophisticated encryption, lack of packetization scheme, and focus on a singular attack.Therefore, the proposed study presents a novel analytical framework for the privacy preservation of image data in the cloud environment.A novel and simplified mathematical model with layer-based operation is constructed, which facilitates appending image chunks with digital security code and encryption token using a hash to generate a hash vector of an image with a higher degree of secrecy.An extensive analysis is carried out over different datasets of images to find that the proposed scheme offers consistency in its performance and a significant balance between security and computational performance in contrast to frequently exercised privacy preservation schemes.The study outcome exhibited 59% overhead reduction, 25% enhanced signal quality, 65% better resolution, and 40% faster execution time in contrast to the existing scheme.