Privacy-aware smart card based biometric authentication scheme for e-health

Chen, Li; Zhang, Ke

doi:10.1007/s12083-020-01008-y

Cited by 10 publications

(4 citation statements)

References 46 publications

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“…However, Chen et al 52 pointed that Al‐Saggaf's protocol is vulnerable to impersonation attack in the authentication phase. Further, Chen et al 52 proposed a M‐FA protocol to authenticate users in electronic healthcare environment. Although the protocol 52 preserves user identity over insecure channels still it fails to provide user anonymity with respect to server.…”

Section: Related Workmentioning

confidence: 99%

“…Further, Chen et al 52 proposed a M‐FA protocol to authenticate users in electronic healthcare environment. Although the protocol 52 preserves user identity over insecure channels still it fails to provide user anonymity with respect to server.…”

Section: Related Workmentioning

confidence: 99%

“…The author 21 incorporate fuzzy commitment to safeguard privacy of user's biometric template. However, Chen et al 52 pointed that Al‐Saggaf's protocol is vulnerable to impersonation attack in the authentication phase. Further, Chen et al 52 proposed a M‐FA protocol to authenticate users in electronic healthcare environment.…”

Section: Related Workmentioning

confidence: 99%

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A novel and provably secure mutual authentication protocol for cloud environment using elliptic curve cryptography and fuzzy verifier

Patel

Shukla

Patel

2023

Concurrency and Computation

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SummaryCloud computing is an emerging paradigm that enables on‐demand data storage without considering the local infrastructure limitations of end‐users. The extensive growth in number of servers, resources, and networks intensifies security and privacy concerns in clouds. This necessitates secure mutual authentication and key agreement mechanism to verify the legitimacy of participating entities. In accordance, several authentication protocols have been designed to authenticate end‐users over insecure channels. This article presents security analysis of recent protocols that claim to render security and privacy features. We demonstrate that Kaur et al.'s protocol is vulnerable to replay attack, Dharminder et al.'s protocol is prone to user traceability and known session‐specific temporary information (KSSTI) attacks, and Bouchaala et al.'s protocol is prone to replay and KSSTI attacks. To withstand the aforementioned attacks, we propose an enhanced protocol based on fuzzy verifier and elliptic curve cryptography for clouds. Our protocol safeguards against security attacks while providing privacy functionalities. The security analysis is illustrated under real‐or‐random model, and correctness is verified under the Scyther security verification tool. Finally, comparative analysis with existing protocols shows that our protocol delivers robust security with reasonable computational and communication overheads than state‐of‐the‐art protocols.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A novel and provably secure mutual authentication protocol for cloud environment using elliptic curve cryptography and fuzzy verifier

Patel

Shukla

Patel

2023

Concurrency and Computation

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“…To x this, they further proposed lightweight authentication scheme by using three-factor scheme for E-health systems. en 2017, Al-Saggaf et al [17] introduced an authentication scheme for remote user by using smart cards, but according to Chen and Zhang [18], it fails to resist some secure attacks. To overcome these drawbacks, they put forward a biometric authentication scheme for E-health system, and proved that the scheme can satisfy the security requirements.…”

Section: Related Workmentioning

confidence: 99%

Patient Family Binding and Authentication Scheme with Privacy Protection for E-Health System

Zhang

Huang

Zhu

et al. 2022

Security and Communication Networks

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The emergence of the E-health system has brought convenience to many chronically ill patients and elderly people with limited mobility. With the help of the E-health system, patients can upload their physiological data timely and get a diagnosis at home, which is more convenient and efficient as they do not have to line up in hospitals. In order to ensure this convenience while protecting patients’ privacy, many schemes have been proposed which can help patient and medical server authenticate each other. However, considering these patients’ inconvenience, sometimes family members need to participate in the patient’s treatment process. So, the E-health system needs to provide a secure communication platform for the family members. At present, most of the authentication schemes for the E-health system only focus on the secure communication between the patient and the medical server, while ignoring the participation of family members. Moreover, in the E-health system, the permissions of family members and patient should be different, and the medical server needs to distinguish their permissions efficiently. In order to overcome these problems, we propose a patient family binding and authentication privacy protection scheme for the E-health system. In the scheme proposed by us, the medical server can efficiently assign different permissions to the family member and patient. And our scheme can allow patient to authorize their family members freely, and the increase in the number of family members will not impose additional burden on the server. At the same time, the authentication between the family member and the medical server does not require the participation of the patient. In addition, by comparing with other related schemes, we prove that our scheme has suitable efficiency and security performance in the E-health system.

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A Secure Privacy Preserving Authentication Schema for Remote Server Using Biometric

Sahoo

Mohanty

Das

2023

Communications in Computer and Information Science

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Privacy-aware smart card based biometric authentication scheme for e-health

Cited by 10 publications

References 46 publications

A novel and provably secure mutual authentication protocol for cloud environment using elliptic curve cryptography and fuzzy verifier

A novel and provably secure mutual authentication protocol for cloud environment using elliptic curve cryptography and fuzzy verifier

Patient Family Binding and Authentication Scheme with Privacy Protection for E-Health System

A Secure Privacy Preserving Authentication Schema for Remote Server Using Biometric

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