EDBT 2026 Demo / reviewers in the wild / expert
Dongyi Yang
dblp:19/10146
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—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 · 67% Network security · 33% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Blockchain and cryptocurrency security
incentive mechanism |
0.6 | 1 | 2022 | DE-Sword: Incentivized Verifiable Tag Path Query in RFID-Enabled Supply Chain Systems · IEEE Trans. Dependable Secur. Comput. 2022 |
Blockchain and cryptocurrency security › incentive mechanism
reputation incentive |
0.6 | 1 | 2022 | DE-Sword: Incentivized Verifiable Tag Path Query in RFID-Enabled Supply Chain Systems · IEEE Trans. Dependable Secur. Comput. 2022 |
Network security › wireless network security
RFID security |
0.6 | 1 | 2022 | DE-Sword: Incentivized Verifiable Tag Path Query in RFID-Enabled Supply Chain Systems · IEEE Trans. Dependable Secur. Comput. 2022 |
Methods — techniques the papers use, named apart from their topics
game theory · 1.1cryptographic primitives · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | DE-Sword: Incentivized Verifiable Tag Path Query in RFID-Enabled Supply Chain SystemsabstractIn this article, we propose Double Edged (DE)-Sword, an incentivized verifiable tag path query scheme. DE-Sword queries tag records stored across a path of participants within an RFID-enabled supply chain in a verifiable way. Different with previous works, DE-Sword works in a dishonest-data owner model in which participants are the owners of tag records and may be dishonest. DE-Sword introduces a novel double-edged reputation incentive mechanism to encourage participants to behave honestly; and couples it with cryptographic primitives to ensure query verifiability. We evaluate DE-Sword through game theory, security analysis, and performance evaluation. The game theory and security analysis shows that DE-Sword guarantees query verifiability. The evaluation results show that DE-Sword incurs low overhead in supply chain systems. Saiyu Qi, Yuanqing Zheng, Yue Li 0060, Xiaofeng Chen 0001, Jianfeng Ma 0001, Dongyi Yang, Yong Qi 0001 |
IEEE Trans. Dependable Secur. Comput. | 6 |