MHealth Authentication Approach Based 3D Touchscreen and Microphone Sensors for Real-Time Remote Healthcare Monitoring System: Comprehensive Review, Open Issues and Methodological Aspects

Abstract

Patient authentication acquires superior attention as a necessary security requirement in a remote health monitoring system. From a usability perspective, credential-based authentication techniques that use sensors, such as orientation, finger and camera, are not exceedingly well-convenient for medical applications. Moreover, patients could entrust credentials to someone else, thus violating the privacy policy. Therefore, further investigations are required to highlight the challenges and discuss the comprehensiveness of solutions. This study aims to discuss the open issues for mHealth authentication approaches derived from multilayer systematic reviews. Moreover, the study intends to discuss the design and develop and evaluate patient usability through a new sensor-based smartphone authentication technique. A new authentication methodology based on 3D touch and microphone sensors is proposed for real-time mHealth monitoring systems. The methodological aspects of the proposed approach are discussed, and three distinct and successive phases are presented. In the first phase, the adoption of two of the unexplored sensors as a new authentication technique is proposed. In the second phase, the development and data collection of the newly developed sensor are debated to put the methodology into perspective. Two techniques, namely ‘microphone sensor (inaudible acoustic signal recorder)’ and ‘Android versions’, are designed to represent the new mHealth authentication technique based on 3D touch and microphone sensors, respectively. In the third phase, the usability testing demonstration is discussed, and the main factor in the proposed usability (i.e. Remember) for test users is identified. The proposed methodology will be simulated and implemented in the future to serve as a guide for privacy preservation within authentication techniques, resulting in persistent and high-level usability within mHealth applications.