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Fengming Meng

dblp:269/8536 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis › message authentication codes
homomorphic authenticator
0.412020
Towards Usable Cloud Storage Auditing · IEEE Trans. Parallel Distributed Syst. 2020
Cloud and datacenter computing
cloud storage
0.412020
Towards Usable Cloud Storage Auditing · IEEE Trans. Parallel Distributed Syst. 2020
Cloud and datacenter computing › cloud storage
storage auditing
0.412020
Towards Usable Cloud Storage Auditing · IEEE Trans. Parallel Distributed Syst. 2020
Storage systems
storage reliability
0.112020
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
YearPublicationVenuePosition
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 Auditing
abstract
Cloud 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