Hide Medical Images in a Speech Signal using DNA Coding and Fuzzy C-Means

Medical images possess great privacy, as the patient's information must be completely confidential if it is transferred from one hospital to another via a hospital intranet or the internet to take medical consultations by specialized doctors. This paper presents a safe new method to transfer medical images by hiding them within a speech signal file, and this is done at three levels: First, a scrambling algorithm proposal to ensure a change in the original medical image based on the binary representation of the image values and using the Zaslavsky map, the second level is encryption the scrambled image relying on DNA coding and a series of keys generated by a proposed hybrid algorithm based on (Tinkerbelle map and 3D Henon) that provided us with good image distortion and provided difficulty in retrieving it by any intruder. The last level is to hide the contents of encrypted medical images in a speech signal depending on (integer wavelet transform and LSB algorithm), then using the proposed algorithm based on (fuzzy c-means clustering algorithm and short-time energy) to determine the locations of speech to hide in it. The results of this paper showed that using statistical measures of hiding and encryption were good in maintaining the confidentiality of medical image information compared to previous researches. Consequently, the use of encryption and hiding techniques together has provided double protection against the problems of malicious manipulation and privacy leakage on the internet as well as lack the hospital's intranet to security tools.