DNA Chaos Blend to Secure Medical Privacy

Abstract

In this technological era, it is highly essential to protect the digital medical data from the fraud and forgery as they are transmitted over the public channel. Also with the increased data traffic, it is hard to transmit the entire bulky medical data. New methods have come into the scene to reduce the traffic while maintaining the sufficient level of security. Partial encryption is one of the methods which selectively encrypt the bulky medical image. Meanwhile, if the same medical image is needed to be reused for another diagnosis, then it is recommended to protect the entire medical image. This paper proposes a hybrid encryption scheme based on deoxyribo nucleic acid and chaotic maps, which can be adaptable for both selective and full medical image encryption. The proposed algorithm uses multiple chaotic maps in single process to generate the highly random keys for encrypting the color digital imaging and communications in medicine image. The algorithm comprises three phases, namely, permutation, encoding, and diffusion. In all the phases, the selection of specific rule set depends on the key sequences produced from the combined chaotic system. Experimental results are carried out to validate the resistance of the developed algorithm toward statistical, differential, and brute force attacks.