Secure Medical Data Using Symmetric Cipher Based Chaotic Logistic Mapping

Abstract

Now-a-days many industries are moving towards digitalization, the healthcare industry is one of them. The electronic health records contain a voluminous amount of personal information that can be used for fraudulent insurance claims, obtain prescription medications, cause identity theft. In this work, we have proposed an image encryption mechanism to secure medical image data from unauthorized users. The chaotic logistic map and linear feedback shift register are employed for securing medical image data. The chaotic logistic map and the linear feedback shift register (LFSR) generate two pseudo random sequences. Then an XOR operation is performed on these sequences to generate the key used for encryption. The generated key and security related transformations are then applied to generate cipher medical image data. The chaotic maps provide random behaviour to the algorithm and are highly sensitive to initial conditions which provide additional security to the system. The proposed work can efficiently secure several formats of medical images and is also resistant to various security attacks like brute-force, man-in-the-middle, etc.