DCCP: a dependable committee consensus protocol for permissionless blockchain

Tian, Junfeng; Xu, Hongwei; Tian, Jin

doi:10.1007/s11227-022-04811-x

Cited by 3 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After confirming that the transactions provided by clients are legitimate, an approach for dynamically expanding the amount of batched transactions in consensus is suggested by the authors. Tian et al 43 constructed a Dependable Committee Consensus Protocol (DCCP) for ensuring reliability and security. In this model, the mining process and node reliability value are integrated together to choose the most relevant nodes for committee operation.…”

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

“…The policy and regulations indicator, on the other hand, measures the level of implementation of the overall guidelines and rules for cybersecurity implementation, where private enterprises dominate the field of cybersecurity while the government role has been limited. It is time for the government to increase its involvement to safeguard national interests [137]. In addition, information legislation, therefore, must enshrine national values, national interests, and national goals.…”

Section: Smart Governancementioning

confidence: 99%

Unpacking Smart Campus Assessment: Developing a Framework via Narrative Literature Review

Polin,

Yigitcanlar,

Washington

et al. 2024

Sustainability

View full text Add to dashboard Cite

The emergence of the smart campus approach for university campuses addresses the digital transformation needs of higher education institutions, driven by the increasing capability and popularity of digital technologies like artificial intelligence and the internet of things. While existing research has laid a foundation for conceptualizing smart campuses and developing implementation frameworks, a significant gap remains in understanding how to assess a university campus’s ‘smartness’ effectively. The lack of a robust assessment framework makes it challenging to gauge the effectiveness of smart campus initiatives and identify areas for improvement. This study aims to bridge this research gap by identifying key indicators for evaluating the ‘smartness’ of university campuses. Using a narrative literature review method, the study comprehensively reviews the recent literature on smart campuses, organizational management, and societal applications, focusing on identifying pertinent indicators. By incorporating insights from different domains, the study presents a holistic understanding of the indicators necessary for assessing the ‘smartness’ of university campuses through the proposed smart campus assessment framework. The framework and the insights generated inform researchers and decision-makers in assessing and monitoring the effectiveness of smart campuses.

show abstract

Scalable and fault-tolerant selection method of verification and accounting nodes for permissionless blockchain

et al. 2023

View full text Add to dashboard Cite

DCCP: a dependable committee consensus protocol for permissionless blockchain

Cited by 3 publications

References 28 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

Unpacking Smart Campus Assessment: Developing a Framework via Narrative Literature Review

Scalable and fault-tolerant selection method of verification and accounting nodes for permissionless blockchain

Contact Info

Product

Resources

About