Demo Data from SIGIR 2026 / reviewers in the wild / expert
Youyang Qiao
dblp:347/8576
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0004-8100-5408ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 |
Hardware security and side channels · 67% Blockchain and cryptocurrency security · 33% | |
| Software engineering, system software, and programming languages
1 paper |
Runtime systems and virtual machines · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels › trusted execution environments
ARM TrustZone |
0.7 | 1 | 2023 | TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment · IEEE Trans. Parallel Distributed Syst. 2023 |
Blockchain and cryptocurrency security › smart contract
smart contract execution |
0.7 | 1 | 2023 | TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment · IEEE Trans. Parallel Distributed Syst. 2023 |
Hardware security and side channels
trusted execution environments |
0.7 | 1 | 2023 | TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment · IEEE Trans. Parallel Distributed Syst. 2023 |
Methods — techniques the papers use, named apart from their topics
resource analysis · 1.3prefetching · 1.3instruction set design · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution EnvironmentabstractTrustZone as a trusted execution environment (TEE) has been proven to preserve the confidentiality of blockchain transactions supported by smart contracts. Despite some academic effort, TrustZone can only support limited languages for now. The lack of the corresponding execution environment for smart contracts seriously hinders blockchain applications from directly running on TrustZone. In this paper, we design the first virtual execution environment named TSC-VEE for performing Solidity smart contracts on TrustZone, to the best of our knowledge. TSC-VEE can be decomposed into fourfold: (1) an instruction set adapted to the isolation and world switching mechanism of TrustZone. (2) a runtime memory management mechanism that provides a pair of instructions with the corresponding processing mechanism to allocate and release the work memory. (3) a hybrid granularity resource analysis algorithm which computes and records the value of maximum stack height and static gas cost through bytecode pre-execution, avoiding runtime overflow and invalid computations. (4) a cross-isolation-environment prefetching approach that supports loading and storing the storage data from the normal world into the secure world on TrustZone before execution, thus avoiding switching the world state frequently at runtime. Extensive experimental results show that TSC-VEE can perform smart contracts correctly and efficiently on TrustZone. Compared with the most commonly used Ethereum client—Geth, TSC-VEE achieves execution performance improvements by$9.29\times$. We also implement the Ethereum virtual machine—evmoneon TrustZone. TSC-VEE can reduce the latency by 12.63% with our optimization techniques, and decrease the work memory footprint by 22.95% on average when executing various scale contracts. Zhaolong Jian, Ye Lu 0004, Youyang Qiao, Yaozheng Fang, Xueshuo Xie, Dayi Yang, Tao Li 0022 |
IEEE Trans. Parallel Distributed Syst. | 3 |