EDBT 2026 Demo / reviewers in the wild / expert
Cankun Hou
dblp:379/6228
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0000-8662-8541ORCID · reported
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 |
Authentication and access control · 50% Privacy and data protection · 38% Hardware security and side channels · 12% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control › access control
fine-grained access control |
0.8 | 1 | 2024 | FACOS: Enabling Privacy Protection Through Fine-Grained Access Control With On-Chain and Off-Chain System · IEEE Trans. Inf. Forensics Secur. 2024 |
Privacy and data protection
privacy-preserving access control |
0.8 | 1 | 2024 | FACOS: Enabling Privacy Protection Through Fine-Grained Access Control With On-Chain and Off-Chain System · IEEE Trans. Inf. Forensics Secur. 2024 |
Authentication and access control › user authentication
credential verification |
0.2 | 1 | 2024 | FACOS: Enabling Privacy Protection Through Fine-Grained Access Control With On-Chain and Off-Chain System · IEEE Trans. Inf. Forensics Secur. 2024 |
Hardware security and side channels
trusted execution environments |
0.2 | 1 | 2024 | FACOS: Enabling Privacy Protection Through Fine-Grained Access Control With On-Chain and Off-Chain System · IEEE Trans. Inf. Forensics Secur. 2024 |
Distributed systems › fault tolerance › byzantine fault tolerance
asynchronous BFT |
0.2 | 1 | 2024 | FACOS: Enabling Privacy Protection Through Fine-Grained Access Control With On-Chain and Off-Chain System · IEEE Trans. Inf. Forensics Secur. 2024 |
Distributed systems › fault tolerance
byzantine fault tolerance |
0.2 | 1 | 2024 | FACOS: Enabling Privacy Protection Through Fine-Grained Access Control With On-Chain and Off-Chain System · IEEE Trans. Inf. Forensics Secur. 2024 |
Methods — techniques the papers use, named apart from their topics
trusted execution environment · 1.5asynchronous byzantine fault tolerance · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | FACOS: Enabling Privacy Protection Through Fine-Grained Access Control With On-Chain and Off-Chain SystemabstractData-driven landscape across finance, government, and healthcare, the continuous generation of information demands robust solutions for secure storage, efficient dissemination, and fine-grained access control. Blockchain technology emerges as a significant tool, offering decentralized storage while upholding the tenets of data security and accessibility. However, on-chain and off-chain strategies are still confronted with issues such as untrusted off-chain data storage, absence of data ownership, limited access control policy for clients, and a deficiency in data privacy and auditability. To solve these challenges, we propose a permissioned blockchain-based privacy-preserving fine-grained access control on-chain and off-chain system, namely FACOS. We applied three fine-grained access control solutions and comprehensively analyzed them in different aspects, which provides an intuitive perspective for system designers and clients to choose the appropriate access control method for their systems. Compared to similar work that only stores encrypted data in centralized or non-fault-tolerant IPFS systems, we enhanced off-chain data storage security and robustness by utilizing a highly efficient and secure asynchronous Byzantine fault tolerance (BFT) protocol in the off-chain environment. As each of the clients needs to be verified and authorized before accessing the data, we involved the Trusted Execution Environment (TEE)-based solution to verify the credentials of clients. Additionally, our evaluation results demonstrated that our system (https://github.com/cliu717/AsynchronousStorage) offers better scalability and practicality than other state-of-the-art designs. We deployed our system on Alibaba Cloud and Tencent Cloud and conducted multiple evaluations. The results indicate that it takes about 2.79 seconds for a client to execute the protocol for uploading and about 0.96 seconds for downloading. Compared to other decentralized systems, our system exhibits efficient latency for both download and upload operations. Chao Liu 0039, Cankun Hou, Jianting Ning, Yusen Wu 0001 |
IEEE Trans. Inf. Forensics Secur. | 2 |