A Secure Three-Factor User Authentication Protocol With Forward Secrecy for Wireless Medical Sensor Network Systems

Li, Xiong; Peng, Jieyao; Obaidat, Mohammad S.; Wu, Fan; Khan, Muhammad Khurram; Chen, Chaoyang

doi:10.1109/jsyst.2019.2899580

Cited by 165 publications

(152 citation statements)

References 38 publications

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“…Security and Performance Comparison. In this section, we compare the security features and performances of the improved scheme with the relevant competitive schemes [27,29,33,53,54]. Table 2 shows the comparison results of security features between the improved scheme and the related ones [27,29,33,53,54].…”

Section: Analysis Of Security Featuresmentioning

confidence: 99%

“…In this section, we compare the security features and performances of the improved scheme with the relevant competitive schemes [27,29,33,53,54]. Table 2 shows the comparison results of security features between the improved scheme and the related ones [27,29,33,53,54]. From Table 2, it is evident that our scheme has overcome the security weaknesses existing in Jiang et al's scheme [29], while the other protocols have security vulnerabilities more or less, e.g., protocols [27,29,33] suffer from user impersonation attack and cannot preserve user anonymity, protocols [53,54] are vulnerable to stolen mobile device attack, and protocol [54] cannot resist replay and privileged insider attack.…”

Section: Analysis Of Security Featuresmentioning

confidence: 99%

“…Table 2 shows the comparison results of security features between the improved scheme and the related ones [27,29,33,53,54]. From Table 2, it is evident that our scheme has overcome the security weaknesses existing in Jiang et al's scheme [29], while the other protocols have security vulnerabilities more or less, e.g., protocols [27,29,33] suffer from user impersonation attack and cannot preserve user anonymity, protocols [53,54] are vulnerable to stolen mobile device attack, and protocol [54] cannot resist replay and privileged insider attack. Particularly, some protocols [33,53] cannot resist user impersonation attack when the mobile device is obtained by the attacker.…”

Section: Analysis Of Security Featuresmentioning

confidence: 99%

“…Additionally, we assume that the length of an identity, a random number, a hash value, a timestamp, an elliptic curve point, the block size of AES symmetric encryption/decryption, and the modular exponentiation are 32 bits, 128 bits, 160 bits, 32 bits, 320 bits, 128 bits [55], and 1024 bits [14], respectively. The comprehensive study of the improved scheme and the related schemes [27,29,33,53,54] is given in Table 4. Furthermore, the performances of the sensor node are summarized in Table 5, because energy consumption is vital to evaluate the lifetime of the sensor node.…”

Section: Analysis Of Security Featuresmentioning

confidence: 99%

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An Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems

Shen

Wei-sheng

2020

Wireless Communications and Mobile Computing

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Wearable health monitoring system (WHMS), which helps medical professionals to collect patients’ healthcare data and provides diagnosis via mobile devices, has become increasingly popular thanks to the significant advances in the wireless sensor network. Because health data are privacy-related, they should be protected from illegal access when transmitted over a public wireless channel. Recently, Jiang et al. presented a two-factor authentication protocol on quadratic residues with fuzzy verifier for WHMS. However, we observe that their scheme is vulnerable to known session special temporary information (KSSTI) attack, privileged insider attack, and denial-of-service (DoS) attack. To defeat these weaknesses, we propose an improved two-factor authentication and key agreement scheme for WHMS. Through rigorous formal proofs under the random oracle model and comprehensive informal security analysis, we demonstrate that the improved scheme overcomes the disadvantages of Jiang et al.’s protocol and withstands possible known attacks. In addition, comparisons with several relevant protocols show that the proposed scheme achieves more security features and has suitable efficiency. Thus, our scheme is a reasonable authentication solution for WHMS.

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Section: Analysis Of Security Featuresmentioning

confidence: 99%

Section: Analysis Of Security Featuresmentioning

confidence: 99%

Section: Analysis Of Security Featuresmentioning

confidence: 99%

Section: Analysis Of Security Featuresmentioning

confidence: 99%

See 2 more Smart Citations

An Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems

Shen

Wei-sheng

2020

Wireless Communications and Mobile Computing

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“…The widespread used and resource constrained nature makes WSN an attractive target for attackers and malicious users. An attacker can disrupt operation in emergency situations or interfere with patients' data in health care application that may threaten human life or gain illegal access to some business for monitory benefits . In such cases, security of WSN becomes crucial.…”

Section: Introductionmentioning

confidence: 99%

Security and key management in IoT‐based wireless sensor networks: An authentication protocol using symmetric key

Ghani

Mansoor

Mehmood

et al. 2019

Int J Communication

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Wireless sensor networks (WSN) consist of hundreds of miniature sensor nodes to sense various events in the surrounding environment and report back to the base station. Sensor networks are at the base of internet of things (IoT) and smart computing applications where a function is performed as a result of sensed event or information. However, in resource-limited WSN authenticating a remote user is a vital security concern. Recently, researchers put forth various authentication protocols to address different security issues. Gope et al presented a protocol claiming resistance against known attacks. A thorough analysis of their protocol shows that it is vulnerable to user traceability, stolen verifier, and denial of service (DoS) attacks. In this article, an enhanced symmetric key-based authentication protocol for IoT-based WSN has been presented. The proposed protocol has the ability to counter user traceability, stolen verifier, and DoS attacks. Furthermore, the proposed protocol has been simulated and verified using Proverif and BAN logic. The proposed protocol has the same communication cost as the baseline protocol; however, in computation cost, it has 52.63% efficiency as compared with the baseline protocol.

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The Contributions of Biometrics and Artificial Intelligence in Securing the IoT

Sammoud¹,

Hamdi²,

Chalouf³

et al. 2022

Intelligent Security Management and Control in the IoT

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A Secure Three-Factor User Authentication Protocol With Forward Secrecy for Wireless Medical Sensor Network Systems

Cited by 165 publications

References 38 publications

An Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems

An Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems

Security and key management in IoT‐based wireless sensor networks: An authentication protocol using symmetric key

The Contributions of Biometrics and Artificial Intelligence in Securing the IoT

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