Secure Smart Healthcare Framework Using Lightweight DNA Sequence and Chaos for Mobile-Edge Computing
Ashish Singh, Kakali Chatterjee, Anish Kumar Singh, Neeraj Kumar
Abstract
Mobile-edge computing (MEC) is a new architecture that provides services to the edge of networks. The software and hardware platforms are positioned at the network edge close to end-users. Emerging developments in MEC can be used for healthcare applications, such as remote patient monitoring, diagnosis, and treatment purposes. The remote access to the data can arise security and privacy issues. Unauthorized access or data leakage can hamper the complete security of the system. This makes the system inconvenient, untrusted, less suitable, and vulnerable. This article is aimed to propose a security framework for the privacy preservation of patient data in a MEC environment where the services are accessed at the network edge. A lightweight cryptographic technique is proposed by including a chaotic map and a DNA sequence of organisms for encryption of electronic health records (EHRs). The identity privacy will be maintained by using anonymous authentication. The framework’s performance is evaluated with memory usage and encryption time and found satisfactory results.