Demo Data from EDBT 2026 / reviewers in the wild / expert
Benquan Yu
dblp:205/7372
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-5986-4669ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Blockchain and cryptocurrency security · 57% Privacy and data protection · 43% | |
| Databases, data mining, and information retrieval
1 paper |
Database system architecture and tuning · 50% Transaction processing and concurrency control · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 2 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection
auditability |
0.4 | 1 | 2020 | LedgerDB: A Centralized Ledger Database for Universal Audit and Verification · Proc. VLDB Endow. 2020 |
Distributed systems
fault tolerance |
0.2 | 1 | 2022 | Ubiquitous Verification in Centralized Ledger Database · ICDE 2022 |
Methods — techniques the papers use, named apart from their topics
fractal accumulating model · 1.1CM-Tree · 1.1TSA two-way peg protocol · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Ubiquitous Verification in Centralized Ledger DatabaseabstractVerifiability is the backbone of most ledger systems to realize credible authentication. However, existing permissioned blockchains and centralized ledger databases lack rigorous verifiability to authenticate all facts (i.e., what-when-who validation). Besides, they suffer from high verification cost to a continually growing immutable storage. In this paper, we introduce verification principles behind LedgerDB, a centralized ledger database that achieves both strong external auditability and fast verification. We coin a novel concept called Dasein Verification that composes of three validation factors what-when-who to formalize ledger auditing. Regarding what, LedgerDB devises fam (fractal accumulating model) to accelerate existence verification, and CM-Tree for efficient lineage verification. Veri-fiable data mutations are also supported. For when, we discuss attacks on existing time pegging protocols that compromise the authenticity of timestamps, and propose a time notary protocol to resolve those threats. Evaluations show that fam and CM- Tree significantly outperform traditional approaches. Compared to Hyperledger Fabric, LedgerDB achieves 23x higher verification throughput with 500 x lower latency in notarization applications, and 3 x higher throughput with 300 x lower latency in lineage tracking applications. As a public-cloud ledger service, the end-to-end verification latencies of LedgerDB are on average 50 x and 1000x lower than that of QLDB in the above applications, respectively. Xinying Yang, Sheng Wang 0011, Feifei Li 0001, Wenyuan Yan, Fangyu Gai, Benquan Yu, Likai Feng, Qun Gao |
ICDE | 7 |
| 2020 | LedgerDB: A Centralized Ledger Database for Universal Audit and VerificationabstractThe emergence of Blockchain has attracted widespread attention. However, we observe that in practice, many applications on permissioned blockchains do not benefit from the decentralized architecture. When decentralized architecture is used but not required, system performance is often restricted, resulting in low throughput, high latency, and significant storage overhead. Hence, we propose LedgerDB on Alibaba Cloud, which is a centralized ledger database with tamper-evidence and non-repudiation features similar to blockchain, and provides strong auditability. LedgerDB has much higher throughput compared to blockchains. It offers stronger auditability by adopting a TSA two-way peg protocol, which prevents malicious behaviors from both users and service providers. LedgerDB supports verifiable data removals demanded by many real-world applications, which are able to remove obsolete records for storage saving and hide records for regulatory purpose, without compromising its verifiability. Experimental evaluation shows that LedgerDB's throughput is 80X higher than state-of-the-art permissioned blockchain (i.e., Hyperledger Fabric). Many blockchain customers (e.g., IP protection and supply chain) on Alibaba Cloud have switched to LedgerDB for its high throughput, low latency, strong auditability, and ease of use. Xinying Yang, Sheng Wang 0011, Benquan Yu, Feifei Li 0001, Wenyuan Yan |
Proc. VLDB Endow. | 4 |