Demo Data from EDBT 2026 / reviewers in the wild / expert
Chenyang Mao
dblp:333/7024
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 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 |
Privacy and data protection · 50% Cryptographic primitives and cryptanalysis · 50% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection › privacy-preserving image retrieval
encrypted image retrieval |
0.8 | 1 | 2024 | DCIRM: Dynamic and Controllable Image Retrieval Scheme in Multi-Owner Multi-User Settings · IEEE Trans. Serv. Comput. 2024 |
Cryptographic primitives and cryptanalysis
proxy re-encryption |
0.8 | 1 | 2024 | DCIRM: Dynamic and Controllable Image Retrieval Scheme in Multi-Owner Multi-User Settings · IEEE Trans. Serv. Comput. 2024 |
Information retrieval › image retrieval › content-based image retrieval
encrypted image retrieval |
0.2 | 1 | 2024 | DCIRM: Dynamic and Controllable Image Retrieval Scheme in Multi-Owner Multi-User Settings · IEEE Trans. Serv. Comput. 2024 |
Methods — techniques the papers use, named apart from their topics
polynomial-based access strategy · 1.5chameleon hash · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | DCIRM: Dynamic and Controllable Image Retrieval Scheme in Multi-Owner Multi-User SettingsabstractThe proliferation of cloud computing technology has led to a significant number of users opting to store image data on the cloud. To ensure the confidentiality of image data, it is recommended to apply encryption techniques prior to uploading them to cloud servers. However, the traditional encrypted image retrieval schemes prove inadequate for practical application scenarios due to limitations in supporting multi-owner and multi-user settings, inefficient access control, and a lack of dynamic verifiability. To address the challenges presented by practical application scenarios, in this paper, we propose a Dynamic and Controllable Image Retrieval scheme in the Multi-owner multi-user settings (DCIRM). First of all, we realize the usability in multi-owner and multi-user scenarios through re-encryption settings. Then, we realize the verifiability of dynamic data by applying the dynamic authentication constructed by the chameleon hash function. Finally, we realize lightweight access control through the polynomial-based access strategy. The DCIRM scheme has been demonstrated to be privacy-preserving, efficient, and feasible through rigorous security analysis and experimentation with authentic datasets. Chenyang Mao, Zhonghua Shen, Kefei Chen, Yong Liu 0053, Fuqun Wang |
IEEE Trans. Serv. Comput. | 1 |