A secure and efficient remote patient‐monitoring authentication protocol for cloud‐IoT

Alzahrani, Bander A.; Irshad, Azeem; Alsubhi, Khalid; Albeshri, Aiiad

doi:10.1002/dac.4423

Cited by 26 publications

(21 citation statements)

References 57 publications

(157 reference statements)

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“…Mutual authentication scheme [25] obtained the 89% of reliability of 85% of accuracy. The session key arrangement scheme [39] obtained the 83% of reliability and 87% of accuracy. Elliptical Curve cryptography [11] obtained the 87% of reliability and 89% of accuracy.…”

Section: Discussionmentioning

confidence: 99%

“…Damasevicius et al [38] explained the network flow features to detect the different types of attackers by using the cybersecurity mechanism in wireless sensor networks. Alzahrani et al [39] explained the cloud-based IoT scheme for remote patient health monitoring in body area networks. Authentication protocols with session key mechanisms to avoid smart card attacks and improves efficiency.…”

Section: Different Security Aspects Of Secure Wbanmentioning

confidence: 99%

“…Biometrics techniques [19] 82 78 Key management scheme [41] 79 81 Mutual authentication scheme [25] 89 85 Session key arrangement scheme [39] 83 87 Elliptical curve cryptography [11] 87 89 Lightweight Scheme [31] 82 83 Trust management scheme [29] 70…”

Section: Techniquesmentioning

confidence: 99%

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A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Ananthi

Jose

2021

Int J Wireless Inf Networks

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Body area network (BAN) connects sensors and actuators to the human body in order to collect patient’s information and transmitting it to doctors in a confined space with limited users. wireless body area network (WBAN) is derived from wireless sensor networks (WSN) and enables to transfer of the patient's information with a wide range of communication due to the limitations of the wired body area network. It plays a vital role in healthcare monitoring, healthcare systems, medical field, sports field, and multimedia communication. Sensors and actuators lead to high energy consumption due to their tiny size. WBAN facilitates in securely storing patient information and transmitting it to the doctor without data loss at a specific time. This review examines and summarizes methodological approaches in WBAN relating to security, safety, reliability, and the fastest transmission. Flying body area networks (FBAN) utilizing unmanned aerial vehicles for data transmission are recommended to promote rapid and secure communication in WBAN. FBAN improve the security, scalability, and speed in order to transmit patient’s information to the doctor due to high mobility.

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Section: Discussionmentioning

confidence: 99%

Section: Different Security Aspects Of Secure Wbanmentioning

confidence: 99%

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A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Ananthi

Jose

2021

Int J Wireless Inf Networks

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“…In IoT-based healthcare, studies on encryption and authentication protocols for user 8 Mobile Information Systems Figure 6: Keyword co-occurrence network obtained using VOSviewer. Mobile Information Systems authentication [120][121][122][123] and data encryption for patient privacy protection [124][125][126][127] are relevant. Safe and efficient medical data retrieval is important for remote medical monitoring.…”

Section: Keyword Clustering and Evolution Of Research On Iotmentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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The smart mobile Internet-of-things (IoT) network lays the foundation of the fourth industrial revolution, the era of hyperconnectivity, hyperintelligence, and hyperconvergence. As this revolution gains momentum, the security of smart mobile IoT networks becomes an essential research topic. This study aimed to provide comprehensive insights on IoT security. To this end, we conducted a systematic mapping study of the literature to identify evolving trends in IoT security and determine research subjects. We reviewed the literature from January 2009 to August 2020 to identify influential researchers and trends of keywords. We additionally performed structural topic modeling to identify current research topics and the most promising ones via topic trend estimation. We synthesized and interpreted the results of the systematic mapping study to devise future research directions. The results obtained from this study are useful to understand current trends in IoT security and provide insights into research and development of IoT security.

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“…Further, Chaudhry et al proposed enhanced protocol in cyber physical systems. In 2020, Chen et al [65] proposed a secure electronic medical record authorization system for smart device application in cloud computing environments, Mo et al [66] proposed an improved anonymous authentication protocol for wearable health monitoring systems and Alzahrani et al [67] proposed a secure and efficient remote patient-monitoring authentication protocol for cloud-IoT.…”

Section: Introductionmentioning

confidence: 99%

CSEF: Cloud-Based Secure and Efficient Framework for Smart Medical System Using ECC

et al. 2020

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Smart architecture is the concept to manage the facilities via internet utilization in a proper manner. There are various technologies used in smart architecture such as cloud computing, internet of things, green computing, automation and fog computing. Smart medical system (SMS) is one of the application used in architecture, which is based on communication networking along with sensor devices. In SMS, a doctor provides online treatment to patients with the help of cloud-based applications such as mobile device, wireless body area network, etc. Security and privacy are the major concern of cloud-based applications in SMS. To maintain, security and privacy, we aim to design an elliptic curve cryptography (ECC) based secure and efficient authentication framework for cloud-assisted SMS. There are six phases in the proposed protocol such as: patient registration phase, healthcare center upload phase, patient data upload phase, treatment phase, checkup phase and emergency phase. In CSEF, there are four entities like healthecare center, patient, cloud and doctor. In CSEF, mutual authentication establishes between healthcare center and cloud, patient and cloud, doctor and cloud, and patient and healthcare center by the using ECC and hash function. The CSEF is secure against security attacks, and satisfies many security attributes such as man-in-the-middle attack, impersonation attack, data non-repudiation, doctor anonymity, replay attack, known-key security property, message authentication, patient anonymity, data confidentiality, stolen-verifier attack, parallel session attack and session key security. Further, the CSEF is efficient in terms of computation and communication compared to others related frameworks. As a result, CSEF can be utilized in cloud-based SMS.

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A secure and efficient remote patient‐monitoring authentication protocol for cloud‐IoT

Cited by 26 publications

References 57 publications

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Current Research Trends in IoT Security: A Systematic Mapping Study

CSEF: Cloud-Based Secure and Efficient Framework for Smart Medical System Using ECC

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