Neural-assisted image-dependent encryption scheme for medical image cloud storage
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ORIGINAL ARTICLE
Neural-assisted image-dependent encryption scheme for medical image cloud storage C. Lakshmi1 • K. Thenmozhi1 • John Bosco Balaguru Rayappan1 • Sundararaman Rajagopalan2 Rengarajan Amirtharajan1 • Nithya Chidambaram1
•
Received: 17 January 2020 / Accepted: 14 October 2020 Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract Current medical technology evolves massive reports such as electronic patient records and scanned medical images; such reports are needed to be stored securely for future references. Existing storage systems are not feasible for massive data storage. Fortunately, cloud storage services meet the demand through their properties such as scalability and availability. Cloud computing is encouraged by amazing web innovation and modern electronic contraptions. Medical images can be stored in the cloud area, but most of the cloud service providers keep the client data in the plain text format. Cloud users need to take the responsibility to preserve the medical data with their strategy. Most of the existing image encryption solutions are vulnerable to the chosen-plaintext attack because the increasing power of computers and ingenuity of hackers are opening up more and more cracks in this mathematical armour. This paper proposes Hopfield neural network (HNN)influenced image encryption technique to withstand against various attacks which optimize and improvise system through continuous learning and updating. These methods provide a critical security feature that adapts itself for day-to-day miracles of the real world. In this scheme, the back propagation neural network has been employed to generate imagespecific keys that increase the resiliency against hackers. The generated keys are used as an initial seed for confusion and diffusion sequence generation through HNN. Keywords Hopfield neural network (HNN) Back propagation neural network (BPN) Image-specific key generation Image encryption Cloud storage
1 Introduction In recent days, the advancements in Information Technology (IT) and processing are incredible. Cloud computing is one such kind which is being adopted by various enterprise for hosting their applications and storage. The digitalized data sharing via modern gadgets set the new stage for the distribution of information around the world irrespective of applications. Being shared information through the public, there is a question on the intensity of privacy and security for the personnel and sensitive information [1]. Increased
& Nithya Chidambaram [email protected] 1
School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur 613 401, India
2
TATA Communication, Chennai, India
rate of information sharing among various organizations, including medical imaging system users, leads to the adoption of new storage techniques like a cloud [2], edge [3], etc. Most of the online services like e-commerce, telemedicine, online money access, and social network are deployed in the
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