Security Enabled Response Delay Reduction in Healthcare Application Using Fog Computing

Abstract

Owing to the Internet of Things' explosive growth in the last several years, wireless sensing technology has found a home in the healthcare industry, where up-to-date, accurate, and sound data forms the basis for all health system decision-making and is crucial for the creation and execution of health system policies. Fog & Cloud computing are new technological paradigm that provide on-demand availability of computing resources, especially storage and computing capability, without direct active management by the end-user. This paper proposes three-tier architecture for pervasively patient monitoring with security to patient data including confidentiality & integrity and fog-enabled data management that ensures less response delay toward patient treatment. For ensuring patient’s data privacy, paper used ECIES based encryption/decryption method, that provide integrated scheme for confidentiality as well as integrity. For confirming reduced response delay, paper proposed fog enabled database management technique that provide data virtualization view and ‘time/recency context aware’ store/access method. The proposed architecture is simulated over Network Simulator-2 for implementing security algorithm and fog enabled ‘time/recency context aware’ store/access method. Simulated work is analyzed using various performance metrics like throughput, PDR, E-E delay, routing overhead and Hit/Miss ratio and compared against two scenarios named cloud only scenario and fog enabled scenario. Additionally, the efficiency of the suggested approach for protecting patient physiological data is examined in relation to security assaults such as Man in the Middle (MiTM) attack, chosen cypher attack, unforgeability, and non-repudiation.