PMsec: PUF-Based Energy-Efficient Authentication of Devices in the Internet of Medical Things (IoMT)

Yanambaka, Venkata P.; Mohanty, Saraju P.; Kougianos, Elias; Puthal, Deepak; Rachakonda, Laavanya

doi:10.1109/ises47678.2019.00079

Cited by 22 publications

(10 citation statements)

References 3 publications

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“…Qureshi et al, [11] proposed a PUF-based identitypreserving authentication protocol, called PUF-IPA, for T2M authentication scheme. Similar to the concept used in [12], the protocol uses shuling techniques to store obfuscated and uncorrelated information about the registered devices' PUFs in the server instead of storing the challenge and response pairs (CRPs) of registered devices in plaintext. The server can authenticate the registered devices without having the original CRPs stored on its database.…”

Section: Identity Preservingmentioning

confidence: 99%

Lessons Learned: Analysis of PUF-based Authentication Protocols for IoT

Lounis

Zulkernine

2022

Digital Threats

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The service of authentication constitutes the spine of all security properties. It is the phase where entities prove their identities to each other and generally establish and derive cryptographic keys to provide confidentiality, data integrity, non-repudiation, and availability. Due to the heterogeneity and the particular security requirements of IoT (Internet of Things), developing secure, low-cost, and lightweight authentication protocols has become a serious challenge. This has excited the research community to design and develop new authentication protocols that meet IoT requirements. A recent technology, called PUFs (Physical Unclonable Functions), has been the subject of many subsequent publications on lightweight, low-cost, and secure-by-design authentication protocols. This has turned our attention to investigate the most recent PUF-based authentication protocols for IoT. In this paper, we review the security of these protocols. We first provide the necessary background on PUFs, their types, and related attacks. Also, we discuss how PUFs are used for authentication. Then, we analyze the security of PUF-based authentication protocols to identify and report common security issues and design flaws, as well as to provide recommendations for future authentication protocol designers.

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Section: Identity Preservingmentioning

confidence: 99%

Lessons Learned: Analysis of PUF-based Authentication Protocols for IoT

Lounis

Zulkernine

2022

Digital Threats

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“…Also, the protocol has a security single point of failure that allows the entire system to be compromised. Yanambaka et al, [14] proposed an FPGA PUF-based authentication protocol for medical IoT devices. It applies an obfuscation technique to perform authentication without CRPs disclosure.…”

Section: Pufs (Physical Unclonable Functions)mentioning

confidence: 99%

“…We note that this method of obfuscating the response by combining two responses together into one single response is inspired by the concept of distributed value used in cryptography [9]. Also, the idea of using the PUF function of both authenticating parties to construct responses is inspired by the work of Yanambaka et al, in [14].…”

Section: A the Concept Of Extended Crps (Ecrps)mentioning

confidence: 99%

T2T-MAP: A PUF-Based Thing-to-Thing Mutual Authentication Protocol for IoT

Lounis¹,

Zulkernine

2021

IEEE Access

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As security has always been an afterthought of innovation, the security of IoT (Internet of Things), in general, and authentication, in particular, has become a serious research challenge. Although many authentication protocols have been proposed in the literature during the past decade, most of them do not fulfill the IoT security and performance requirements. Furthermore, only a very small number of these protocols can be used in Thing-to-Thing (T2T) architectures, where Things autonomously authenticate each other without involving any human intervention. In this paper, we propose a novel lightweight T2T mutual authentication protocol (T2T-MAP) using PUFs (Physical Unclonable Functions). The protocol employs PUFs technology to allow each Thing to uniquely identify and authenticate itself in an IoT infrastructure by using the physical randomness of its circuitry. We design the protocol and perform a security analysis to show that it is secure against known attacks. Also, we prove the security of the protocol using a security protocol prover. Finally, we implement a prototype of the protocol on resource-constrained devices and then conduct a performance analysis to demonstrate that the protocol allows fast authentication, reasonable communication overhead, and low energy consumption.

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“…Such a Cloud-Fog-Edge architecture provides the processing support needed by the IoHT constrained devices. This way, IoHT technologies can contribute to improve performance, reduce costs and mitigate risk [12][13][14][15][16][17]. However, although the IoHT have been adopted to monitor people everywhere, there is a place where technology must be much more efficient due to its inherent criticality: the hospital.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of an Internet of Healthcare Things for Medical Monitoring Using M/M/c/K Queuing Models

Silva

Nguyen

Fé³

et al. 2021

IEEE Access

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Due to the non-stop and rapid spreading of virus pandemics all over the world, traditional healthcare monitoring capabilities of hospitals and/or medical centers are under a severe over-load. Modern computing infrastructures with the harmony of various layers of computing paradigms (e.g., cloud/fog/edge computing) for healthcare monitoring are apparently the essential computing backbone that help access and process instantly the medical data of every single patient at the very edge of the healthcare system to combat with global or regional virus contagion. Previous studies proposed different computing system architectures for healthcare monitoring but few works considered the evaluation of pure performance of medical data transmission in a comprehensive manner. In this paper, we proposed an M/M/c/K queuing network model for the performance evaluation of an Internet of Healthcare Things (IoHT) infrastructure in association with a three layer cloud/fog/edge computing continuum. The model considers a life cycle of medical data from body-attached IoT sensors in edge layer all the way to local clients (e.g., local medical doctors, physicians) through fog layer and to remote clients (e.g., medical professionals, patient's family members) through cloud layer. Furthermore, we also explore the impact of the alteration in system configuration and computing capability of computing layers in two scenarios on various performance metrics. Critical performance metrics related to quality of service are evaluated in a comprehensive manner, such as (i) mean response time of medical data transmission to fog (local) clients and to cloud (remote) clients, (ii) utilization of cloud/fog/edge computing layers, (iii) service throughput, (iv) number of medical messages in a period of time, and (v) drop rate. The simulation results pinpoint bottle-neck parameters and configurations of the IoHT infrastructure's system architecture in relation to the frequency of medical data collection for health check of patients. Thus, the findings of this study can help improve medical administration in hospitals and healthcare centers and help design computing infrastructures in accordance for medical monitoring in the severe circumstances of virus pandemics.

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PMsec: PUF-Based Energy-Efficient Authentication of Devices in the Internet of Medical Things (IoMT)

Cited by 22 publications

References 3 publications

Lessons Learned: Analysis of PUF-based Authentication Protocols for IoT

Lessons Learned: Analysis of PUF-based Authentication Protocols for IoT

T2T-MAP: A PUF-Based Thing-to-Thing Mutual Authentication Protocol for IoT

Performance Evaluation of an Internet of Healthcare Things for Medical Monitoring Using M/M/c/K Queuing Models

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