Demo Data from EDBT 2026 / reviewers in the wild / expert
Yongdong Ding
dblp:371/0189
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0004-4283-0130ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 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 · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% | |
| Computer networks
1 paper |
Edge and fog computing · 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
data auditing |
1.0 | 1 | 2026 | CL-ERDA: Certificateless Recoverable Data Auditing With Corruption Localization in Edge Computing · IEEE Trans. Dependable Secur. Comput. 2026 |
Storage systems
storage reliability |
1.0 | 1 | 2026 | CL-ERDA: Certificateless Recoverable Data Auditing With Corruption Localization in Edge Computing · IEEE Trans. Dependable Secur. Comput. 2026 |
Edge and fog computing › edge data management
edge storage |
0.3 | 1 | 2026 | CL-ERDA: Certificateless Recoverable Data Auditing With Corruption Localization in Edge Computing · IEEE Trans. Dependable Secur. Comput. 2026 |
Methods — techniques the papers use, named apart from their topics
homomorphic authenticator · 3.0certificateless network coding signature · 3.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | CL-ERDA: Certificateless Recoverable Data Auditing With Corruption Localization in Edge ComputingabstractEdge computing paradigm deploys infrastructures on users' edge side, enabling data to be stored in edge storage systems. Thus edge computing finds a balance between remote cloud storage with high latency and local storage with limited resources. However, the frequent update of edge data increases the probability of data corrupting. To ensure availability and integrity of edge data without affecting future use, this paper proposes a certificateLess edge recoverable data auditing (CL-ERDA) approach with corruption localization. First, the certificateless network coding signature in CL-ERDA is utilized to generate the homomorphic authenticator, addressing public key certificate management issues while avoiding insecure key escrow problems. Then, CL-ERDA designs a two-phase auditing method, where only file-level aggregation proofs are respond in first phase of external check and the second phase of self-check is launched only when damaged data is detected, reducing communication overhead of the auditing. Moreover, CL-ERDA combines hierarchical check method with batch localization method to achieve locating efficiently all the corrupted data at one time rather than locating only one corrupted data at once. Finally, security analysis shows that the proposed scheme resists various attacks and supports the unforgeability of authenticators. Experimental results demonstrate that CL-ERDA is efficient in auditing and corruption localization. Yongdong Ding, Dengzhi Liu, Jun Shen 0006, Haowen Tan, Q. M. Jonathan Wu |
IEEE Trans. Dependable Secur. Comput. | 1 |