Protecting medical images in cloud using visual cryptography scheme
Mbarek Marwan, Ali Kartit, Hassan Ouahmane · 2017
Healthcare providers generate large amounts of medical imaging data to meet the increased demand. These digital records need to be processed and stored. So, mass storage systems and powerful image processing software are required. Nevertheless, to invest in a sophisticated local data center leads to high operating expenses. To overcome this challenge, cloud computing has recently been adopted in healthcare sector. In fact, this new paradigm offers scalable computational resources to the client as a service. Furthermore, consumers are commonly charged only for cloud services utilization. In spite of its demonstrated advantages, moving medical data to cloud computing brings security threats. That is why we propose a method based on visual cryptography to secure medical image storage over cloud. Indeed, this technique ensures privacy without complex mathematical computations. The experimental results show that the proposed method ensures data confidentiality by splitting medical image into several shares. Moreover, we propose a multi-cloud environment to reduce security risks and to improve performance.