Şifreleme ve kimlik doğrulama medikal görüntüler için bulut sistemi

Lately, a great number of applications have emerged during the fast and continuous development in the field of telecommunications. One such important application is a tele-medicine where a patient's digital medical data can be transferred between doctors in order to further diagnosis. Thus, protecting the exchanged medical data is the mission of this study, especially when exchanging those medical data over an insecure channel such as a cloud computing environment. The standard form of medical images is called DICOM (Digital Imaging and Communications in Medicine). When we are outsourcing these medical images containing sensitive information about patients, such as medical status about the patient, there is a need to provide privacy to this information. Where security is considered a valuable issue, this study proposes a novel framework to enhance the protection of DICOM images and the privacy of patient information. In the proposed system, the DICOM file that contain medical images and patient information will encounter a partition process in order to extract medical images and patient information and encrypt the images and upload them with patient information to the cloud, which will store patient information inside an Oracle data base and encrypted image inside a file. The keys of this encrypted image will saved in the database. If a client (doctor) registered in the cloud requests to download any medical image, the cloud will perform the steganography method using least significant bit (LSB) in order to embed the patient medical data inside the encrypted medical image and the key for decrypting the image, and send the encrypted image with the steganography information to the doctor. The proposed system insures provision of a lossless retrieval of the shared image while preserving the resulting images from pixel amplification in addition to guaranteeing a high level of quality of the retrieved images, especially high PSNR values by comparison with other studies on medical images using another encryption algorithm. Keywords: telemedicine, medical image security, encryption, steganography, cloud system.