EDBT 2026 Demo / reviewers in the wild / expert
Jerry Q. Cheng
dblp:98/5935 · also Jerry Cheng
· DBLP profile ↗
2ranked-venue papers in the field
0as first author
2since 2021 · last 2024
—ORCID · conflict
Domains — venue-derived; a paper can count in several
Big Data, Cloud & Distributed Data Systems · 2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | A Systematic Literature Review of Decentralized Applications in Web3: Identifying Challenges and Opportunities for Blockchain DevelopersabstractThe Internet has opened the floor to stakeholders by redefining the way of organizing, communicating, and collaborating that was initiated by the Web’s development. The advancement of the World Wide Web is an outright phenomenon and significant and we witnessed the evolution of the Web. As decentralized technologies continue to gain traction, Web3, or the decentralized internet, has emerged as a promising approach to enable a more secure, transparent, and privacy-preserved digital landscape. In this paper, we thoroughly conduct a systematic study to explore the challenges and opportunities encountered by blockchain developers in the context of decentralized applications (dApps) in Web3. We analyze a set of peer-reviewed research articles, whitepapers, and technical reports and present an in-depth understanding of the current state of Web3 development and its implications. Our finding indicates the opportunities that Web3 can facilitate, such as expanded use cases, enhanced security and privacy, decentralized infrastructure, and the potential for enabling inclusive development resources for blockchain developers. Additionally, we highlight various challenges that blockchain developers deal with including scalability, security, privacy, interoperability, and the need for standardized tools and frameworks along with various challenges in the software development lifecycle (SDLC). While there are significant challenges to overcome, the potential benefits of Web3 are substantial and could lead to a more inclusive, secure, and transparent digital ecosystem. Furthermore, we emphasize the importance of continued research, collaboration, and innovation among stakeholders to address the identified challenges and capitalize on Web3’s opportunities. Md. Jobair Hossain Faruk, Pratusha Raya, Md Kamrul Siam, Jerry Q. Cheng, Hossain Shahriar, Alfredo Cuzzocrea, Pablo García Bringas |
IEEE Big Data | 4 |
| 2023 | Blockchain-Based Decentralized Verifiable Credentials: Leveraging Smart Contracts for Privacy-Preserving Authentication Mechanisms to Enhance Data Security in Scientific Data AccessabstractManaging and exchanging sensitive information securely is a paramount concern for different domains such as scientific, finance, cybersecurity, and healthcare. The increasing reliance on computing workflows and digital data transactions requires ensuring that sensitive information is protected from unauthorized access, tampering, or misuse and ensuring data integrity and transparency. To address this need, several approaches have been proposed such as JWT, SciTokens, Verifiable Credentials, and Smart Contracts which provide different methods for managing and exchanging information securely in centralized or decentralized and trustworthy environments. However, each technology offers unique advantages and limitations that require a comprehensive analysis to understand its potential and challenges. In our previous study, we conducted a comprehensive analysis of these approaches for authenticating and securing access to scientific data. This research further proposes a novel blockchain-based verifiable credentials that integrate the concept of Smart Contracts. The aim of this study is to introduce a decentralized and privacy-preserving authentication mechanism to enable stakeholders to share, verify, or revocation of their data with enhanced security, transparency, and trust. The proposed framework utilizes two different blockchain frameworks, Hyperledger Fabric and Ethereum to conduct comprehensive research to evaluate the effectiveness of both frameworks for the development of verifiable credentials. Our analysis indicates that Hyperledger Fabric offers enhanced security and ensures robust integrity through a private network and chaincode mechanism for authentication and access to data. As a result of our analysis, we adopt Hyperledger Fabric for the implementation and demonstration of the final version of our framework. We evaluate the proposed approach with a set of educational data to measure the effectiveness of the system. We find the proposed framework enables users to share data effectively within a secure network and only authorized stakeholders are allowed to access the shared data. Md. Jobair Hossain Faruk, Jim Basney, Jerry Q. Cheng |
IEEE Big Data | 3 |