Sensor-Based mHealth Authentication for Real-Time Remote Healthcare Monitoring System: A Multilayer Systematic Review

Shuwandy, Moceheb Lazam; Zaidan, B. B.; Zaidan, A. A.; Albahri, A. S.

doi:10.1007/s10916-018-1149-5

Cited by 64 publications

(29 citation statements)

References 139 publications

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“…Both of these approaches are resistant to replay and forgery attacks, but the former can provide secure authentication functionality and the latter can provide data security. Recently, a few more interesting authentication protocols such as [11]- [15], [30] have been proposed for ensuring security in IoT-based healthcare systems. Among them, only [12] has considered the data security (both privacy and integrity) features.…”

Section: B Problem Statement and Motivationmentioning

confidence: 99%

A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process

Gope

Gheraibia

Kabir

et al. 2021

IEEE J. Biomed. Health Inform.

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The advent of Internet of Things (IoT) has escalated the information sharing among various smart devices by many folds, irrespective of their geographical locations. Recently, applications like e-healthcare monitoring has attracted wide attention from the research community, where both the security and the effectiveness of the system are greatly imperative. However, to the best of our knowledge none of the existing literature can accomplish both these objectives (e.g., existing systems are not secure against physical attacks). This paper addresses the shortcomings in existing IoT-based healthcare system. We propose an enhanced system by introducing a Physical Unclonable Function (PUF)-based authentication scheme and a data driven fault-tolerant decision-making scheme for designing an IoT-based modern healthcare system. Analyses show that our proposed scheme is more secure and efficient than existing systems. Hence, it will be useful in designing an advanced IoT-based healthcare system.

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Section: B Problem Statement and Motivationmentioning

confidence: 99%

A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process

Gope

Gheraibia

Kabir

et al. 2021

IEEE J. Biomed. Health Inform.

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“…Considering telemedicine as an essential component of eHealth systems, some systematic reviews have focused security controls for such systems [4]. A typical example of this is multi-layer systematic reviews for user authentication in telemedicine and mHealth systems, using body sensor information and finger vein biometric verification [21] and sensor-based smart phones [22]. In such reviews, the prime focus of the investigation is authentication and key exchange protocols for secure telemedicine.…”

Section: B Security In Telemedicine and Mhealth Systemsmentioning

confidence: 99%

“…However, the existing reviews tend to limit the scope to mHealth systems (using smartphones, tablets and wearable sensors), but they do not explicitly include more pervasive and context-sensitive uHealth systems. Moreover, the existing reviews have focused on very specific security controls used in m/uHealth systems, such as biometrics, authentication, and key exchange schemes [21], [22]. Hence, the existing survey-based studies (detailed in a dedicated section) lack a broader view on the topic, i.e., explicitly comprising both mHealth and uHealth together with security and privacy aspects.…”

Section: Introductionmentioning

confidence: 99%

Security and Privacy for mHealth and uHealth Systems: A Systematic Mapping Study

2020

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An increased adoption of mobile health (mHealth) and ubiquitous health (uHealth) systems empower users with handheld devices and embedded sensors for a broad range of healthcare services. However, m/uHealth systems face significant challenges related to data security and privacy that must be addressed to increase the pervasiveness of such systems. This study aims to systematically identify, classify, compare, and evaluate state-of-the-art on security and privacy of m/uHealth systems. We conducted a systematic mapping study (SMS) based on 365 qualitatively selected studies to (i) classify the types, frequency, and demography of published research, (ii) synthesize and categorize research themes, (iii) recurring challenges, (iv) prominent solutions (i.e., research outcomes) and their (v) reported evaluations (i.e., practical validations). Results suggest that the existing research on security and privacy of m/uHealth systems primarily focuses on select group of control families (compliant with NIST800-53), protection of systems and information, access control, authentication, individual participation, and privacy authorisation. In contrast, areas of data governance, security and privacy policies, and program management are underrepresented, although these are critical to most of the organizations that employ m/uHealth systems. Most research proposes new solutions with limited validation, reflecting a lack of evaluation of security and privacy of m/uHealth in the real world. Empirical research, development, and validation of m/uHealth security and privacy is still incipient, which may discourage practitioners from readily adopting solutions from the literature. This SMS facilitates knowledge transfer, enabling researchers and practitioners to engineer security and privacy for emerging and next generation of m/uHealth systems.

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“…A prioritisation process is often conducted to ensure that care is given in a suitable and timely manner [28,29]. The early identification of critically ill patients and their stratification into priority levels upon acceptance to the emergency department (ED) are necessary for the quality and integrity of emergency medicine [30][31][32][33][34]. Hence, patient prioritisation aims to identify patients who can safely wait and those who cannot [35].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

et al. 2019

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Remotely monitoring a patient's condition is a serious issue and must be addressed. Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies, methods and installations that enable doctors or other medical professionals to work remotely to consult, diagnose and treat patients. The goal of RHMS is to provide timely medical services at remote areas through telecommunication technologies. Through major advancements in technology, particularly in wireless networking, cloud computing and data storage, RHMS is becoming a feasible aspect of modern medicine. RHMS for the prioritisation of patients with multiple chronic diseases (MCDs) plays an important role in sustainably providing high-quality healthcare services. Further investigations are required to highlight the limitations of the prioritisation of patients with MCDs over a telemedicine environment. This study introduces a comprehensive and inclusive review on the prioritisation of patients with MCDs in telemedicine applications. Furthermore, it presents the challenges and open issues regarding patient prioritisation in telemedicine. The findings of this study are as follows: (1) The limitations and problems of existing patients' prioritisation with MCDs are presented and emphasised. (2) Based on the analysis of the academic literature, an accurate solution for remote prioritisation in a large scale of patients with MCDs was not presented. (3) There is an essential need to produce a new multiple-criteria decisionmaking theory to address the current problems in the prioritisation of patients with MCDs.

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Sensor-Based mHealth Authentication for Real-Time Remote Healthcare Monitoring System: A Multilayer Systematic Review

Cited by 64 publications

References 139 publications

A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process

A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process

Security and Privacy for mHealth and uHealth Systems: A Systematic Mapping Study

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

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