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Start Over Author "Wang, Shuhui" Publication Type Academic Journals
860 results on '"Wang, Shuhui"'

13. Blockchain-based cross-data center anonymous and verifiable identity authentication scheme

Author

Shujiang XU, Chaoyang ZHANG, Lianhai WANG, Shuhui ZHANG, Wei SHAO

Subjects
data security, blockchain, identity authentication, privacy protection, identity regulation, Electronic computers. Computer science, QA75.5-76.95
Abstract

With the progression of big data and cloud computing technologies, there has been an escalating trend in cross-institutional data sharing and interaction within the financial sector. However, the frequent occurrence of privacy breaches poses significant challenges to ensuring data security protection. This necessitates the elevation of requirements for identity authentication across data centers and other technologies related to data security management. The traditional centralized identity authentication schemes are inherently flawed in security and scalability, which hampers their ability to meet the demands of high-frequency cross-center data sharing applications. The blockchain technology has emerged as a potential solution, offering exceptional characteristics such as a distributed nature, tamper-proof properties, traceability, and the ability to achieve multi-party consensus. In practical application scenarios, it is essential to not only protect the privacy of user identities but also to effectively regulate anonymous identities. An anonymous and supervisable cross-data center identity authentication scheme based on blockchain was proposed. This scheme did not necessitate alterations to the original architecture of each data center. Instead, a distributed multi-center consortium blockchain was formed by leveraging more than one server from each data center to establish a data center union. Blockchain technology was utilized to ensure the transparency and reliability of the identity authentication process. Additionally, attribute signatures were employed to safeguard user identity privacy while simultaneously creating an identity mapping table that facilitated the tracking of real user identities. Consequently, the scheme was designed to protect user privacy during cross-data center identity authentication and to enable effective supervision over anonymous identities. A thorough security analysis and the results of experiments demonstrate that the proposed scheme possesses the following attributes: it does not require users to re-register, it exhibits characteristics of unforgeability and traceability, and it is capable of withstanding various network attacks, including replay attacks, denial of service attacks, tampering attacks, and man-in-the-middle attacks.

Published
2024
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27. Stability analysis of a nonlocal SIHRDP epidemic model with memory effects

Author

Lu, Zhenzhen, Yu, Yongguang, Chen, YangQuan, Ren, Guojian, Xu, Conghui, and Wang, Shuhui

Subjects
Engineering, Maritime Engineering, Mathematical Sciences, Prevention, Immunization, Vaccine Related, 3.4 Vaccines, Prevention of disease and conditions, and promotion of well-being, Good Health and Well Being, COVID-19, Fractional-order integral, Nonlocal epidemic system, Adaptive impulsive vaccination, Acoustics, Mathematical sciences
Abstract

The prediction and control of COVID-19 is critical for ending this pandemic. In this paper, a nonlocal SIHRDP (S-susceptible class, I-infective class (infected but not hospitalized), H-hospitalized class, R-recovered class, D-death class and P-isolated class) epidemic model with long memory is proposed to describe the multi-wave peaks for the spread of COVID-19. Based on the basic reproduction number R0 , which is completely controlled by fractional order, the stability of the proposed system is studied. Furthermore, the numerical simulation is conducted to gauge the performance of the proposed model. The results on Hunan, China, reveal that R0

Published
2022

50. A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects.

Author

Lu, Zhenzhen, Yu, Yongguang, Chen, YangQuan, Ren, Guojian, Xu, Conghui, Wang, Shuhui, and Yin, Zhe

Subjects
COVID-19, Fractional-order, Inter-city networked coupling effects, SEIHDR epidemic model, physics.soc-ph, math.DS, q-bio.PE, Mathematical Sciences, Engineering, Acoustics
Abstract

In the end of 2019, a new type of coronavirus first appeared in Wuhan. Through the real-data of COVID-19 from January 23 to March 18, 2020, this paper proposes a fractional SEIHDR model based on the coupling effect of inter-city networks. At the same time, the proposed model considers the mortality rates (exposure, infection and hospitalization) and the infectivity of individuals during the incubation period. By applying the least squares method and prediction-correction method, the proposed system is fitted and predicted based on the real-data from January 23 to March 18 - m where m represents predict days. Compared with the integer system, the non-network fractional model has been verified and can better fit the data of Beijing, Shanghai, Wuhan and Huanggang. Compared with the no-network case, results show that the proposed system with inter-city network may not be able to better describe the spread of disease in China due to the lock and isolation measures, but this may have a significant impact on countries that has no closure measures. Meanwhile, the proposed model is more suitable for the data of Japan, the USA from January 22 and February 1 to April 16 and Italy from February 24 to March 31. Then, the proposed fractional model can also predict the peak of diagnosis. Furthermore, the existence, uniqueness and boundedness of a nonnegative solution are considered in the proposed system. Afterward, the disease-free equilibrium point is locally asymptotically stable when the basic reproduction number R 0 ≤ 1 , which provide a theoretical basis for the future control of COVID-19.

Published
2020

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