Name
Title | ||
|---|---|---|
Poster: Privacy Preserving Divisible Double Auction with A Hybridized TEE-Blockchain System |
Abstract | ||
|---|---|---|
Divisible double auction enables distributed agents to trade divisible resources (e.g., electricity, mobile data, and cloud resources) by dynamically submitting the bid profiles of both buyers and sellers. In such systems, smart contract can be utilized to ensure transaction consensus among mutually distrustful agents, and strong integrity/availability of its execution on the blockchain. However, severe privacy risks emerge if disclosing the sensitive hid profiles in the transactions. Preserving privacy and consensus by designing cryptographic schemes will result in huge burden to the blockchain. To address such concerns, we design a hybridized TEE-Hlockchain system (including both system and auction mechanism) to privately execute the divisible double auction while ensuring privacy, truthfulness and high efficiency. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDCS51616.2021.00128 | 2021 IEEE 41ST INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2021) |
DocType | ISSN | Citations |
Conference | 1063-6927 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingyu Liu | 1 | 2 | 4.08 |
| Yuanzhou Yang | 2 | 0 | 0.34 |
| Rujia Wang | 3 | 0 | 0.34 |
| Yuan Hong | 4 | 184 | 18.71 |