A Provably Secure and Lightweight Patient-Healthcare Authentication Protocol in Wireless Body Area Networks

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

doi:10.1007/s11277-020-07237-x

Cited by 70 publications

(59 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the CK threat model, we use the definition mentioned in Section 2.2 . Table 2 shows the feature comparisons among the related protocols devised by Khatoon et al in [ 34 ], Ostad-Sharif et al in [ 35 ], Khan et al in [ 38 ], Xu et al in [ 40 ] and Alzahrani et al in [ 41 ].…”

Section: Security and Privacy Resultsmentioning

confidence: 99%

“…The healthcare system should provide privacy and security at the same time [ 46 , 47 ]. Normally, only anonymity is considered to provide privacy of PT in some other protocols in [ 40 , 41 ]. However, we also need to further consider unlinkability as another important privacy feature.…”

Section: Preliminariesmentioning

confidence: 99%

“…There have been many authentication protocols for WBANs in healthcare applications [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ]. Especially, the first anonymous authentication protocol based on smartcards was proposed by Zhu et al, which provides authentication with one round message communication but keeps user anonymity [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

“…Their protocol is only based on a hash function and exclusive-or operations and has an advantage in operational cost. However, Alzahrani et al showed that Xu et al’s protocol is vulnerable against replay attacks and key compromise impersonation attacks and suffers from the offline identity-guessing attack [ 41 ]. Furthermore, they proposed an improved protocol for WBANs in healthcare applications.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Privacy-Preserving Authentication Protocol for Wireless Body Area Networks in Healthcare Applications

Ryu

Kim

2021

Healthcare

View full text Add to dashboard Cite

Mobile healthcare service has become increasingly popular thanks to the significant advances in the wireless body area networks (WBANs). It helps medical professionals to collect patient’s healthcare data remotely and provides remote medical diagnosis. Since the health data are privacy-related, they should provide services with privacy-preserving, which should consider security and privacy at the same time. Recently, some lightweight patient healthcare authentication protocols were proposed for WBANs. However, we observed that they are vulnerable to tracing attacks because the patient uses the same identifier in each session, which could leak privacy-related information on the patient. To defeat the weakness, this paper proposes a privacy-preserving authentication protocol for WBANs in healthcare service. The proposed protocol is only based on one-way hash function and with exclusive-or operation, which are lightweight operations than asymmetric cryptosystem operations. We performed two rigorous formal security proofs based on BAN logic and ProVerif tool. Furthermore, comparison results with the relevant protocols show that the proposed protocol achieves more privacy and security features than the other protocols and has suitable efficiency in computational and communicational concerns.

show abstract

Section: Security and Privacy Resultsmentioning

confidence: 99%

Section: Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Privacy-Preserving Authentication Protocol for Wireless Body Area Networks in Healthcare Applications

Ryu

Kim

2021

Healthcare

View full text Add to dashboard Cite

show abstract

“…The third paper by Alzahrani et al [ 3 ] proposes improvements to the new patient healthcare monitoring and authentication protocol presented by Xu et al, designed for WBAN environments. The authors showed that Xu et al’s protocol is vulnerable to many attacks, including replay attacks and key compromise impersonation attacks, and that it suffers from privacy issues.…”

mentioning

confidence: 99%

Reliable and Secure e-Health Networks

Toral-Cruz

Mihovska

et al. 2021

Wireless Pers Commun

View full text Add to dashboard Cite

Electronic health (e-health) is becoming a norm in our society, particularly in the current COVID-19 pandemic. Consequently, the volume, variety, velocity and veracity of healthcare data are also increasing. Due to the nature of healthcare data (e.g., patient's medical history and diagnosis), e-health network reliability and security are crucial. While e-health network reliability and security have been the focus of research in recent years, many open research issues remain, particularly as technologies advance. For example, traditional security strategies may not have kept pace with advances in e-health technologies and societal requirements (e.g., increasing privacy regulations). Thus, this special issue presents various state-of-the-art advances and research opportunities on the topics of e-health network reliability and security, covering both theoretical and practical aspects.Specifically, in this special issue twelve (12) research papers were accepted after several rounds of reviews, based on their originality, quality, and merit.The first paper by Pandey et al.[1] presents a solution to detect and thwart the circulation of counterfeit medicines in India through resilient electronic health networks

show abstract

Advancement of Machine Learning and Cloud Computing in the Field of Smart Health Care

Behura

Sahu

Kabat

2021

Machine Learning Approach for Cloud Data Analytics in IoT

View full text Add to dashboard Cite

A Provably Secure and Lightweight Patient-Healthcare Authentication Protocol in Wireless Body Area Networks

Cited by 70 publications

References 37 publications

Privacy-Preserving Authentication Protocol for Wireless Body Area Networks in Healthcare Applications

Privacy-Preserving Authentication Protocol for Wireless Body Area Networks in Healthcare Applications

Reliable and Secure e-Health Networks

Advancement of Machine Learning and Cloud Computing in the Field of Smart Health Care

Contact Info

Product

Resources

About