Demo Data from EDBT 2026 / reviewers in the wild / expert
Rongwang Yin
dblp:148/8235
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 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
1 paper |
Blockchain and cryptocurrency security · 30% Cyber-physical and IoT security · 30% Authentication and access control · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Blockchain and cryptocurrency security › blockchain data management
blockchain-based data sharing |
0.9 | 1 | 2025 | BAST: Blockchain-Assisted Secure and Traceable Data Sharing Scheme for Vehicular Networks · IEEE Trans. Inf. Forensics Secur. 2025 |
Authentication and access control › authentication
message authentication |
0.9 | 1 | 2025 | BAST: Blockchain-Assisted Secure and Traceable Data Sharing Scheme for Vehicular Networks · IEEE Trans. Inf. Forensics Secur. 2025 |
Cyber-physical and IoT security
vehicular network security |
0.9 | 1 | 2025 | BAST: Blockchain-Assisted Secure and Traceable Data Sharing Scheme for Vehicular Networks · IEEE Trans. Inf. Forensics Secur. 2025 |
Cryptographic primitives and cryptanalysis › public-key cryptography › digital signatures
threshold signature |
0.3 | 1 | 2025 | BAST: Blockchain-Assisted Secure and Traceable Data Sharing Scheme for Vehicular Networks · IEEE Trans. Inf. Forensics Secur. 2025 |
Methods — techniques the papers use, named apart from their topics
σ-protocol · 0.9threshold signature · 0.9non-interactive signatures of knowledge · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | BAST: Blockchain-Assisted Secure and Traceable Data Sharing Scheme for Vehicular NetworksabstractIn vehicular networks, caching service content on edge servers (ESs) is a widely accepted strategy for promptly responding to vehicle requests, reducing communication overhead, and improving service experience. However, implementing such an architecture requires addressing the challenges associated with ES response data reliability and communication security. In this study, to tackle the ES response data reliability issue, a blockchain-assisted threshold signature scheme for cache-based vehicular networks is proposed. The scheme utilizes a threshold mechanism to sign the data broadcast by the ES, incorporates blockchain to trace malicious signers, and avoids the shortcomings and limitations associated with idealized assumptions for the ES in existing data-sharing schemes. Moreover, considering the communication security and high-speed mobility of vehicles, using the non-interactive signatures of knowledge based on the Σ-protocol, a secure and efficient message authentication scheme for vehicles and ESs is provided. Through rigorous security proofs and comprehensive analyses, our scheme satisfies the communication security requirements of vehicular networks. By leveraging the JPBC library for performance analysis, the proposed scheme demonstrates advantages as concerns both computation and communication overheads compared to related schemes. Moreover, we implemented the proposed scheme on an Ethereum test network (i.e., Goerli) to validate its feasibility. Xinzhong Liu 0002, Jie Cui 0004, Jing Zhang 0024, Rongwang Yin, Hong Zhong 0001, Lu Wei 0003, Irina Pavlovna Bolodurina, Debiao He |
IEEE Trans. Inf. Forensics Secur. | 4 |