EB-BFT: An elastic batched BFT consensus protocol in blockchain

Zhang, Baochen; Kong, Lanju; Min, Xinping; Liu, Yuan; Che, Zhengwei

doi:10.1016/j.future.2022.09.014

Cited by 13 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Khan et al 41 investigated the major effects and opportunities of using blockchain and AI in IIoT systems. Zhang et al 42 designed an Elastic Batched Byzantine Fault Tolerance Consensus Protocol (EB-BFT) to improve the security of business applications. The number of consensus nodes is dynamically altered by this approach, which recognizes low-performance nodes and prevents them from taking part in consensus.…”

Section: Related Workmentioning

confidence: 99%

A quantum trust and consultative transaction-based blockchain cybersecurity model for healthcare systems

Shitharth

Mouratidis

2023

Sci Rep

View full text Add to dashboard Cite

Many researchers have been interested in healthcare cybersecurity for a long time since it can improve the security of patient and health record data. As a result, a lot of research is done in the field of cybersecurity that focuses on the safe exchange of health data between patients and the medical setting. It still has issues with high computational complexity, increased time consumption, and cost complexity, all of which have an impact on the effectiveness and performance of the complete security system. Hence this work proposes a technique called Consultative Transaction Key Generation and Management (CTKGM) to enable secure data sharing in healthcare systems. It generates a unique key pair based on random values with multiplicative operations and time stamps. The patient data is then safely stored in discrete blocks of hash values using the blockchain methodology. The Quantum Trust Reconciliation Agreement Model (QTRAM), which calculates the trust score based on the feedback data, ensures reliable and secure data transfer. By allowing safe communication between patients and the healthcare system based on feedback analysis and trust value, the proposed framework makes a novel contribution to the field. Additionally, during communication, the Tuna Swarm Optimization (TSO) method is employed to validate nonce verification messages. Nonce message verification is a part of QTRAM that helps verify the users during transmission. The effectiveness of the suggested scheme has been demonstrated by comparing the obtained findings with other current state-of-the-art models after a variety of evaluation metrics have been analyzed to test the performance of this security model.

show abstract

Section: Related Workmentioning

confidence: 99%

A quantum trust and consultative transaction-based blockchain cybersecurity model for healthcare systems

Shitharth

Mouratidis

2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…As presented in Tables 1 and 2, the most cited BC-related research focuses on IoT, privacy, and security, and article types, reviews, and surveys are the most popular, followed by research articles and conference papers. Very recent articles also focus on privacy and security [63] but also on optimizing consensus models [64][65][66][67], blockchain-based voting [32], using reinforcement learning to improve external data access without compromising the BC integrity [68], BC-based trading and auctioning [69,70], and supply chain management in the context of cross-border e-commerce [71].…”

Section: Analysis and Discussionmentioning

confidence: 99%

Trustful Blockchain-Based Framework for Privacy Enabling Voting in a University

Dıaconıța

Belciu

Stoica

2023

JTAER

View full text Add to dashboard Cite

In this study, we explore the challenges and potential solutions to blockchain-based voting. As a first step, we present a comparison of the relevant platforms for implementing smart contracts in decentralized applications (dApps). We analyze the top platforms, highlighting their advantages and disadvantages, their architecture, and which are more reliable for developing smart contracts. The goal is to find a technology that offers various facilities to the developer and multiple functionalities and performance in the development of smart contracts in a field that has seen an incredible pace of innovation. Based on the findings from our research, we propose a framework based on blockchain technology and smart contracts for university-level voting based on blockchains.

show abstract

“…The MMU keeps track of available vehicle connections in the network and prepares a queue of valid booths (shown in Figure 2 D1; examples with animations can be found on V-Guard's GitHub page [111]). A booth, denoted by V, is a membership configuration profile that describes a set of participating members (vehicles).…”

Section: Membership Management Unit (Mmu)mentioning

confidence: 99%

V-Guard: An Efficient Permissioned Blockchain for Achieving Consensus under Dynamic Memberships in V2X Networks

Zhang¹,

Mao²,

Zhang³

et al. 2023

Preprint

View full text Add to dashboard Cite

This paper presents V-Guard, a new permissioned blockchain that achieves consensus for vehicular data under changing memberships, targeting the problem in V2X networks where vehicles are often intermittently connected on the roads. To achieve this goal, V-Guard integrates membership management into the consensus process for agreeing on data entries. It binds a data entry with a membership configuration profile that describes responsible vehicles for achieving consensus for the data entry. As such, V-Guard produces chained consensus results of both data entries and their residing membership profiles, which enables consensus to be achieved seamlessly under changing memberships. In addition, V-Guard separates the ordering of transactions from consensus, allowing concurrent ordering instances and periodic consensus instances to order and commit data entries. These features make V-Guard efficient for achieving consensus under dynamic memberships with high throughput and latency performance.

show abstract

EB-BFT: An elastic batched BFT consensus protocol in blockchain

Cited by 13 publications

References 13 publications

A quantum trust and consultative transaction-based blockchain cybersecurity model for healthcare systems

A quantum trust and consultative transaction-based blockchain cybersecurity model for healthcare systems

Trustful Blockchain-Based Framework for Privacy Enabling Voting in a University

V-Guard: An Efficient Permissioned Blockchain for Achieving Consensus under Dynamic Memberships in V2X Networks

Contact Info

Product

Resources

About