An Integrity Medical Image Steganography Framework for IoT Based Remote Health Care Applications

Abstract

The comprehensive interchange of data visualized to take place in scattered IoTs is susceptible to result in authentication and privacy results at the cyberspace position. The objective of this research is the conservation of confidentiality and privacy of vital data in uncertain surroundings during multimedia exchange joining two IoT hops. For attacker obstruction and, provision of data confidentiality, a resilient multilevel security perspective depending on information hiding and cryptography is suggested. fand three random parameters that are controlled to execute a Henon Map Function towards curbing the cybercrimes challenges. The affine cipher was utilized to encrypt data then the encrypted data compressed using the Huffman algorithm before embedding to increase payload ability. The finding of the proposed framework is high vigor of the conveyed details linking two nodes, inclusive of signal processing and the region-oriented strikes, occurring at the same time or standalone. Cropping, Rotation strikes, histogram equalization, and sharpening, results in great vigor with SSIM near to unity. For another remarkable/collaborated strikes, the mean SSIM is more than 0.98. The average PSNR resulting from several cover images is more than 60 dB consisting of distinct payload capacity. The scrupulous finding reveals the advantage of the suggested perspective compared to other modern methods.