Based on IoT Healthcare Application for Medical Data Authentication: Towards A New Secure Framework Using Steganography

Abstract

Abstract With increasing transmission of sensitive information over the dispersed IoTs, security of sensitive patient’s contents is becoming more challenging and has been enthusiastic area of research since last decades. Evolution in the concealment of data was reflected in the medical field specifically on medical images. Hide information technology in the image is called steganography. The objective of this study is the preservation of privacy and confidentiality of data in uncertain surroundings during multimedia exchange joining two IoT hops. For attacker hindrance and, provision of data confidentiality, a resilient multilevel security perspective depending on information hiding and cryptography is suggested. The existing schemes have limitations related to the equilibrium trade-off amid two variables (medical image quality and security). In addition, the direct embedment of the secret data into the images and further subtraction of an encrypted data from it often enables the intruders to easily detect and extract the hidden information. Based on these factors, we proposed a multilevel security based on 3 th random iterations with chosen a procedure was implemented using Henon function to stop against cybercrimes challenges. The patient information is going through the preparation stage (different steps) before the embedding algorithm in order to increase the security. Superior results achieved with this study in term of imperceptibility and security the reason is to choose the right method in the right place. Satisfying results, gained when benchmarking our results with existing one in literature through the same criteria.