Because of the widespread use of medical images and signals in hospitals and healthcare communities, information security and medical data encryption are becoming more important. Cryptography has a specific role, is to protect data against unauthorized access. In this paper, we propose an efficient encryption scheme for medical data using a new hyperchaotic system applied with two algorithms: the first based on random key generation from initial conditions to encrypt a brain MRI and the second algorithm using chaotic masking technique to encrypt the heartbeat signal. The scheme achieves secure encryption and his robustness is measured by various metrics such as histogram analysis, key sensitivity, correlation coefficient and PSNR test. We conclude from the experimental results that the scheme promises stronger resistance against diverse forms of common attacks and high sensitivity to the security keys.

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The growth of technology and the emphasis on privacy have intensified the need to find a fast and secure cryptographic method. As chaotic signals are usually noise-like and chaotic systems are very sensitive to the initial condition, they can be used in cryptography. We have analyzed the properties of two new hyperchaotic systems that we have developed and then propose a secure chaotic cryptography scheme for the transmission of confidential communication.The purpose of this article is to synchronize our two new hyperchaotic systems. These new systems are the fourth-order and six-order continuous hyperchaotic systems. After studying and verifying the hyperchaotic bihaviour of these systems, a high gain observer class is used to synchronize and stabilize the synchronization error dynamics. Then, a chaotic masking scheme is applied to secure the information between a transmitter and a receiver. The results of the simulations confirm the high performance of the observer designed for these high-dimensional systems and the proposed method leads to an almost perfect restoration of the original signal.