A Permissioned Blockchain-Based Identity Management and User Authentication Scheme for E-Health Systems

Xiang, Xinyin; Wang, Mingyu; Fan, Weiguo

doi:10.1109/access.2020.3022429

Cited by 49 publications

(30 citation statements)

References 30 publications

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“…The coefficient value lies between -1, 0, 1; a value of 1 indicates a perfect positive correlation, a value of -1 indicates perfect negative correlation while 0 indicates absolutely no correlation at all. The correlation coefficient is given by (1).…”

Section: Analysis Metrics and Approachmentioning

confidence: 99%

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A Self-Adaptive Deep Learning-Based Algorithm for Predictive Analysis of Bitcoin Price

et al. 2021

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Bitcoin generates a massive amount of data every day due to its innate transparency and capacity of operating completely decentralised. In this paper, we introduce on-chain metrics derived from data on the bitcoin network that enable us to describe the state and usage of the underlying network. Based on their characteristics, we classify them into user, miner, exchange activities and run a correlation analysis with the price to understand the dynamics of bitcoin's price and its underlying mechanics. Using the correlated data, we develop a deep learning model. However, determining the best values of parameters in a deep learning model can be a very challenging and time-consuming task. Hence, we propose a self-adaptive technique using a jSO optimization algorithm to find the best values of these parameters to accurately predict the price of bitcoin. Compared to traditional LSTM model, our approach is highly accurate and optimised with a minimum error rate.

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Section: Analysis Metrics and Approachmentioning

confidence: 99%

“…The new block is stored, distributed to the blockchain network and maintained by peers in the system. Apart from its use in cryptocurrency, blockchain technology is also used in a variety of applications like electronic healthcare and identity management systems [1].…”

Section: Introductionmentioning

confidence: 99%

A Self-Adaptive Deep Learning-Based Algorithm for Predictive Analysis of Bitcoin Price

et al. 2021

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“…However, the authors outlined the scalability limitation and the security balance with using the proof-of-stack public blockchain consensus algorithm. Xiang et al [43] presented a permissioned, blockchain-based identity management and user authentication healthcare system, which has a lightweight computation requirement that can be applied to terminal devices. However, the presented work assumes the trust of central medical servers in addition to using public leaders, which introduces consensus overhead computing.…”

Section: B Blockchianmentioning

confidence: 99%

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

et al. 2021

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Pandemic and infectious disease outbreaks put pressure on health authorities and require lockdowns. These outbreaks, which strain limited healthcare resources, must be swiftly controlled and monitored. A large number of healthcare authorities are currently investigating automated systems to support outbreak monitoring and control. However, current contact tracing systems face many privacy, participation, and power constraints. Furthermore, elderly or less financially able individuals often cannot participate in automated contact tracing due to not owning a smartphone. This paper proposes a new system that enables health authorities to track exposure among individuals participating in the automated system, aid health authorities in interviewing non-participating individuals, and minimize the processing required by offloading to nearby edge computing devices. The proposed system utilizes edge servers to assist health authorities in tracking users who withdraw from or are unable to use contact tracing. Edge computing devices have access to more contextual information, resulting in minimal data collection and thus enabling businesses, houses, and offices to participate in contact tracing as locations. Edge computing devices enable location-based data collection of contact tracing data using proximity-based sensors for offices, homes, and shops, thereby assisting health authorities to notify users of exposure without disclosing the identities of businesses or individuals. Moreover, the proposed system reduces the overall power for end users up to 97% by delegating contact tracing to nearby edge computing devices. In addition, the system mitigates data poisoning attacks that target individuals' smartphones, edge devices, or cloud servers by utilizing blockchain to store contacts, delegations, and identities.INDEX TERMS Edge computing, infectious diseases, COVID-19, blockchain, pandemic contact tracing

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“…e proposed scheme is an identity-based signature scheme with multiple authorities which can resist the collusion attack out of N from N − 1 authorities. In [29], the authors presented a permissioned blockchain-based identity management and user authentication (PBBIMUA) scheme for the e-health environment.…”

Section: Introductionmentioning

confidence: 99%

A Privacy-Preserving Identity Authentication Scheme Based on the Blockchain

Gao

Zhang

et al. 2021

Security and Communication Networks

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Traditional identity authentication solutions mostly rely on a trusted central entity, so they cannot handle single points of failure well. In addition, most of these traditional schemes need to store a large amount of identity authentication or public key information, which makes the schemes difficult to expand and use in distributed situations. In addition, the user prefers to protect the privacy of their information during the identity verification process. Due to the open and decentralized nature of the blockchain, the existing identity verification schemes are difficult to apply well in the blockchain. To solve this problem, in this article, we propose a privacy protection identity authentication scheme based on the blockchain. The user independently generates multiple-identity information, and these identities can be used to apply for an identity certificate. Authorities use the ECDSA signature algorithm and the RSA encryption algorithm to complete the distribution of the identity certificate based on the identity information and complete the registration of identity authentication through the smart contract on the blockchain. On the one hand, it can realize the protection of real identity information; on the other hand, it can avoid the storage overhead caused by the need to store a large number of certificates or key pairs. Due to the use of the blockchain, there is no single point of failure in the authentication process, and it can be applied to distributed scenarios. The security and performance analysis show that the proposed scheme can meet security requirements and is feasible.

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A Permissioned Blockchain-Based Identity Management and User Authentication Scheme for E-Health Systems

Cited by 49 publications

References 30 publications

A Self-Adaptive Deep Learning-Based Algorithm for Predictive Analysis of Bitcoin Price

A Self-Adaptive Deep Learning-Based Algorithm for Predictive Analysis of Bitcoin Price

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

A Privacy-Preserving Identity Authentication Scheme Based on the Blockchain

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