A Lightweight Three-Factor Anonymous Authentication Scheme With Privacy Protection for Personalized Healthcare Applications

Shuai, Mengxia; Yu, Nenghai; Wang, Hongxia; Xiong, Ling; Li, Yue

doi:10.4018/joeuc.20210501.oa1

Cited by 39 publications

(41 citation statements)

References 42 publications

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“…In 2021, Shuai et al [24] proposed a lightweight 3FA anonymous authentication scheme; however, we pointed out that Shuai et al's scheme is vulnerable to stolen-verifier attack, modification of messages attack, and no perfect forward security. To solve these problems, we propose a new 3FA scheme based on ECC and Fuzzy Extractor algorithm.…”

Section: Motivations and Contributionsmentioning

confidence: 95%

“…Shuai et al's scheme [24] consists of three phases: registration phase, login and authentication phase, and password change phase.…”

Section: Review the Shuai Et Al's Schemementioning

confidence: 99%

“…In 2021, Tanveer et al [22] proposed a lightweight user authentication and key exchange scheme for smart home, and Xie et al [23] designed an ECC-based secure and privacy-protected authentication protocol for smart city. Shuai et al [24] proposed a 3FA scheme for WSN, which uses a bio-hash function to enhance security.…”

Section: Introductionmentioning

confidence: 99%

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A Secure and Privacy-Preserving Three-Factor Anonymous Authentication Scheme for Wireless Sensor Networks in Internet of Things

Xie

Ding

2021

Security and Communication Networks

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The Internet of things is playing more and more important role in smart healthcare, smart grids, and smart transportation, and using wireless sensor network (WSN), we can easily obtain and transmit information. However, the data security and users’ privacy are the biggest challenges for WSN because sensor nodes have low computing power and low storage capacity and are easy to be captured, and wireless networks are vulnerable. In 2021, Shuai et al. proposed a lightweight three-factor anonymous authentication scheme for WSN. However, we found that their protocol is vulnerable to stolen-verifier attack, modification of messages’ attack, and no perfect forward secrecy. Then, a new three-factor anonymous authentication scheme using elliptic curve cryptography (ECC) is proposed. Through informal and formal security analyses, our scheme can resist various known attacks and maintains low computational complexity.

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Section: Motivations and Contributionsmentioning

confidence: 95%

“…Shuai et al's scheme [24] consists of three phases: registration phase, login and authentication phase, and password change phase.…”

Section: Review the Shuai Et Al's Schemementioning

confidence: 99%

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A Secure and Privacy-Preserving Three-Factor Anonymous Authentication Scheme for Wireless Sensor Networks in Internet of Things

Xie

Ding

2021

Security and Communication Networks

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“…e algorithms that can be used are Markov Hierarchical Hidden Model (HMM), Convolutional Neural Network (CNN), Conditional Random Field (CRF), etc. [11,12].…”

Section: Motion Recognition Algorithm Based On Trajectorymentioning

confidence: 99%

“…ere are two ways to classify the data in this dataset. e first is the multiple verification method proposed by Wang et al [11]. For individual classification, subjects 1, 3, 5, 7, and 9 are used for education, and subjects 2, 4, 6, 8, and 10 are used for testing.…”

Section: Experiments and Analysis On Msr Action 3d Databasementioning

confidence: 99%

Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm

Shou

2021

Mobile Information Systems

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When material desires are satisfied, people begin to pursue more and more spiritual levels. Health exercises have an excellent auxiliary effect on people’s flexibility and physical fitness, so more and more people choose health exercises. However, the movement of health exercises returns to Chengdu and affects the efficiency of physical training. Therefore, we have designed a sports competition assistance system based on vague big data and a health exercise recognition algorithm. First of all, in this article, the standard score comparison database is created by extending the standard action data. In addition, the system architecture is further given, and the key 3D data-based acquisition module design is given. In addition, the system architecture is further given, and the basic 3D data acquisition unit design is given. In this document, the depth characteristics filtered by the Fourier Pyramid are fused to the bone characteristics, and the merged data is sorted based on the support engine, thus designing the action recognition unit. A hidden Markov model (HMM) human action recognition algorithm based on pose selection is proposed. This method uses two affine propagation (AP) clustering algorithms to cluster the features, automatically select the key posture of each action, and correspond to the hidden state of the HMM. These hidden state labels are used to initialize the parameters of the HMM to train the model, and the trained model is used to implement action classification. The result shows that the design in the article has a more accurate recognition result, which provides a powerful tool for the referee to score. Using the Fourier Pyramid filtering method, through a large number of health exercises for comparison, the ability to judge the degree of standard health exercises is significantly improved, the efficiency is increased by 25%, and the accuracy rate is increased by 15%.

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Construction of elliptic curve cryptography‐based authentication protocol for internet of things

Chhikara

Rana

Mishra

et al. 2022

Security and Privacy

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The advancement in the internet of things (IoT) is bringing changes in our daily lives. The widespread adoption of the IoT in a variety of areas sets the basis for smart living while also posing privacy and security concerns. Authentication and key agreement (AKA) protocol provides identity authentication for participants in a communication system and generates a temporary session key for participants to securely transmit messages. In addition to this, the adoption of smart cards adds a second line of defense in AKA protocols for IoT. To enhance the security of AKA protocols for IoT, many AKA protocols are proposed, but the majority of them fail to manage the balance between security and efficiency.To achieve both security and efficiency together for IoT, based on the elliptic curve public-key cryptography, we design a three-factor AKA protocol. We follow security analysis and efficiency analysis to analyze the security and efficiency. By comparing with related existing protocols, it is found that this protocol achieves security and efficiency attributes. The investigation shows that the protocol can meet key security requirements, consumes less computing resources, and is especially suitable for IoT scenarios with high security and efficiency.

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A Lightweight Three-Factor Anonymous Authentication Scheme With Privacy Protection for Personalized Healthcare Applications

Cited by 39 publications

References 42 publications

A Secure and Privacy-Preserving Three-Factor Anonymous Authentication Scheme for Wireless Sensor Networks in Internet of Things

A Secure and Privacy-Preserving Three-Factor Anonymous Authentication Scheme for Wireless Sensor Networks in Internet of Things

Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm

Construction of elliptic curve cryptography‐based authentication protocol for internet of things

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