Demo Data from EDBT 2026 / reviewers in the wild / expert
James Pangia
dblp:373/2523
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels › memory integrity
integrity tree |
0.8 | 1 | 2024 | Data Enclave: A Data-Centric Trusted Execution Environment · HPCA 2024 |
Hardware security and side channels › trusted execution environments
secure enclaves |
0.8 | 1 | 2024 | Data Enclave: A Data-Centric Trusted Execution Environment · HPCA 2024 |
Hardware security and side channels
trusted execution environments |
0.8 | 1 | 2024 | Data Enclave: A Data-Centric Trusted Execution Environment · HPCA 2024 |
Methods — techniques the papers use, named apart from their topics
secure permission control · 0.8cryptographic isolation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Data Enclave: A Data-Centric Trusted Execution EnvironmentabstractTrusted Execution Environments (TEEs) protect sensitive applications in the cloud with the minimal trust in the cloud provider. Existing TEEs with integrity protection however lack support for data management primitives, causing data sharing between enclaves either insecure or cumbersome. This paper proposes a new data abstraction for TEEs, data enclave. As a data-centric abstraction, data enclave is decoupled from an enclave's existence, is equipped with flexible secure permission controls, and crytographically isolated. It eliminates the hurdles for enclaves to cooperate efficiently, and at the same time, enables dynamic shrinking of the height of integrity tree for performance. This paper presents this new abstraction, its properties, and the architecture support. Experiments on synthetic benchmarks and three real-world applications all show that data enclave can help improve the efficiency of enclaves and inter-enclave cooperations significantly while enhancing the security protection. Yuanchao Xu 0001, James Pangia, Chencheng Ye 0001, Yan Solihin, Xipeng Shen |
HPCA | 2 |