Demo Data from VLDB 2026 / reviewers in the wild / expert
Fengming Meng
dblp:269/8536
· DBLP profile ↗
2ranked-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 · 2 · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 87% Storage systems · 13% | |
| Network and information security
1 paper |
Cryptographic primitives and cryptanalysis · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic primitives and cryptanalysis › message authentication codes
homomorphic authenticator |
0.4 | 1 | 2020 | Towards Usable Cloud Storage Auditing · IEEE Trans. Parallel Distributed Syst. 2020 |
Cloud and datacenter computing
cloud storage |
0.4 | 1 | 2020 | Towards Usable Cloud Storage Auditing · IEEE Trans. Parallel Distributed Syst. 2020 |
Cloud and datacenter computing › cloud storage
storage auditing |
0.4 | 1 | 2020 | Towards Usable Cloud Storage Auditing · IEEE Trans. Parallel Distributed Syst. 2020 |
Storage systems
storage reliability |
0.1 | 1 | 2020 | Towards Usable Cloud Storage Auditing · IEEE Trans. Parallel Distributed Syst. 2020 |
Methods — techniques the papers use, named apart from their topics
universal hash based MAC · 0.9reed-solomon codes · 0.9galois field arithmetic · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Public cloud object storage auditing: Design, implementation, and analysis
Fei Chen 0003, Fengming Meng, Tao Xiang 0001 |
J. Parallel Distributed Comput. | 2 |
| 2020 | Towards Usable Cloud Storage AuditingabstractCloud storage security has gained considerable research efforts with the wide adoption of cloud computing. As a security mechanism, researchers have been investigating cloud storage auditing schemes that enable a user to verify whether the cloud keeps the user's outsourced data undamaged. However, existing schemes have usability issues in compatibility with existing real world cloud storage applications, error-tolerance, and efficiency. To mitigate this usability gap, this article proposes a new general cloud storage auditing scheme that is more usable. The proposed scheme uses the idea of integrating linear error correcting codes and linear homomorphic authentication schemes together. This integration uses only one additional block to achieve error tolerance and authentication simultaneously. To demonstrate the power of the general construction, we also propose one detailed scheme based on the proposed general construction using the Reed Solomon code and the universal hash based MAC authentication scheme, both of which are implemented over the computation-efficient Galois field GF(28). We also show that the proposed scheme is secure under the standard definition. Moreover, we implemented and open-sourced the proposed scheme. Experimental results show that the proposed scheme is orders of magnitude more efficient than the state-of-the-art scheme. Fei Chen 0003, Fengming Meng, Tao Xiang 0001, Hua Dai 0003, Jianqiang Li 0001, Harry Qin |
IEEE Trans. Parallel Distributed Syst. | 2 |