<scp>Cloud‐assisted elliptic curve</scp> password authenticated key exchange protocol for <scp>wearable healthcare monitoring system</scp>

Wang, Zhihui; Gong, Liheng; Yang, Jingjing; Xiao, Zhang

doi:10.1002/cpe.5734

Cited by 8 publications

(6 citation statements)

References 29 publications

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“…IotC should be able to concurrently network multiple WSs. (v) Te combination of IotC and WS must be built according to the diagnostic needs of doctors [7]. (vi) To reduce the impact of remote network quality on IoHT system availability, the IotC and WS should have ofine networking capabilities.…”

Section: Networking Requirements Of Sensor Layer Networkmentioning

confidence: 99%

“…However, this scheme does not support the dynamic construction of a sensor layer network. In 2020, Wang et al [7] proposed a lightweight WSs and WNC mutual authentication protocol based on the elliptic curve cryptography (ECC) algorithm. With the help of a cloud-assisted authentication service, the protocol can realize mutual authentication and key negotiation of a wearable network connector (WNC) access to WSs designated by doctors.…”

Section: Related Workmentioning

confidence: 99%

“…Figure 1 describes the general network structure of IoHT systems applied in the medical structure environment [5][6][7][8]. Its remarkable feature is the integration of the IoT, cloud computing, wearable, or implantable device technology.…”

Section: Introductionmentioning

confidence: 99%

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A Lightweight Three‐Party Mutual Authentication Protocol for Internet of Health Things Systems

Wang

Zhao

Sun

et al. 2023

Journal of Healthcare Engineering

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In Internet of Health Things (IoHT) systems, there is a two-hop network structure between the authentication server TA, Internet of Things Connector (IotC), and wearable sensor (WS). Attackers can use the sensor layer network (the first hop) between the IotC and WS to steal patient’s health-related information and undermine the security of the system and the privacy of sensitive information. To address this threat, this study proposes a lightweight identity authentication and key agreement protocol for third-party authentication servers TA, IotC, and WS. The results of the formal security proof, BAN logic analysis, and AVISPA tool simulation show that the scheme proposed in this study has an ideal security performance and can meet the security requirements of IoHT. In terms of performance, the proposed scheme could dynamically construct a sensor layer network (the first hop) and offline networking according to the diagnostic needs of doctors. Compared with other related protocols, the proposed scheme can significantly reduce the computing resource requirements of IotC and server TA and the resource requirements of database I/O operation of server TA in the application scenario of concurrent access of multiple WS nodes.

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Section: Networking Requirements Of Sensor Layer Networkmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A Lightweight Three‐Party Mutual Authentication Protocol for Internet of Health Things Systems

Wang

Zhao

Sun

et al. 2023

Journal of Healthcare Engineering

Self Cite

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“…Much like embedded devices, they are loaded with sensors for collecting data from the surrounding ecosystem and transmitting the data to the destination for desired analysis and actions. With the advancement in healthcare wearable devices [2] such as implantable pacemakers, biofluidic-based wearables, and skin-based wearables, there has been growing concern over their manufacturing and their implications for security and privacy [3]. Consider a pacemaker as an example.…”

Section: Introductionmentioning

confidence: 99%

Reliable and Secure Memristor-based Chaotic Communication Against Eavesdroppers and Untrusted Foundries

Vishwakarma

Monani

Hedayatipour

et al. 2022

Preprint

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Chaos is a deterministic phenomenon that occurs in a non-linear dynamic system under the specific condition when the trajectories of the state vector become periodic and extremely sensitive to the initial conditions. While traditional resistor-based chaotic communications are primarily concerned with the safe transfer of information across networks, the transceivers themselves can be compromised due to outsourcing manufacturing. With the growth of wireless sensors in resource-constrained implantable and wearable devices, chaotic communication may be a good fit if the information transmitted is reliable and the transmitter devices are secure. We believe that memristor, as the fourth fundamental two-terminal circuit element, can close the gap between reliable communication and secure manufacturing since its resistance can be programmed and saved by the designer and not the foundry. Thus, in this paper, we propose a memristor-based Chua’s chaotic transceiver that is both reliable in the presence of eavesdroppers and secure against untrusted foundries. Specifically, we consider the pair of transmitter and receiver under the same memristor value to show the possibility of uninterrupted communication as well as cases wheredifferent values of memristors are used to find out the possible rangein which the message can still be meaningfully decoded. Experimen-tal results confirm that both reliable communication and secure designcan be achieved via our proposed memristor-based chaos transceivers.

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“…Wireless body area network [6] usually installs sensors on clothes or attached to the human body and can also be implanted into the skin to monitor the user's physical activ-ities and the state of body functions. The physical health data monitored by the sensors are sent to the cloud server for storage and analysis through the Internet of Things (IoTs).…”

Section: Introductionmentioning

confidence: 99%

A Provably Secure Three‐Factor Authentication Protocol for Wireless Sensor Networks

Yang

Lee

Chu

et al. 2021

Wireless Communications and Mobile Computing

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The wireless sensor network is a network composed of sensor nodes self-organizing through the application of wireless communication technology. The application of wireless sensor networks (WSNs) requires high security, but the transmission of sensitive data may be exposed to the adversary. Therefore, to guarantee the security of information transmission, researchers propose numerous security authentication protocols. Recently, Wu et al. proposed a new three-factor authentication protocol for WSNs. However, we find that their protocol cannot resist key compromise impersonation attacks and known session-specific temporary information attacks. Meanwhile, it also violates perfect forward secrecy and anonymity. To overcome the proposed attacks, this paper proposes an enhanced protocol in which the security is verified by the formal analysis and informal analysis, Burross-Abadii-Needham (BAN) logic, and ProVerif tools. The comparison of security and performance proves that our protocol has higher security and lower computational overhead.

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Cloud‐assisted elliptic curve password authenticated key exchange protocol for wearable healthcare monitoring system

Cited by 8 publications

References 29 publications

A Lightweight Three‐Party Mutual Authentication Protocol for Internet of Health Things Systems

A Lightweight Three‐Party Mutual Authentication Protocol for Internet of Health Things Systems

Reliable and Secure Memristor-based Chaotic Communication Against Eavesdroppers and Untrusted Foundries

A Provably Secure Three‐Factor Authentication Protocol for Wireless Sensor Networks

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