Demo Data from EDBT 2026 / reviewers in the wild / expert
Zilin Zheng
dblp:385/6024
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
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 |
Cryptographic primitives and cryptanalysis · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic primitives and cryptanalysis › searchable encryption
keyword guessing attack |
0.8 | 1 | 2024 | Identity-Based Group Encryption With Keyword Search Against Keyword Guessing Attack · IEEE Trans. Inf. Forensics Secur. 2024 |
Cryptographic primitives and cryptanalysis › searchable encryption
public key encryption with keyword search |
0.8 | 1 | 2024 | Identity-Based Group Encryption With Keyword Search Against Keyword Guessing Attack · IEEE Trans. Inf. Forensics Secur. 2024 |
Cryptographic primitives and cryptanalysis
searchable encryption |
0.8 | 1 | 2024 | Identity-Based Group Encryption With Keyword Search Against Keyword Guessing Attack · IEEE Trans. Inf. Forensics Secur. 2024 |
Methods — techniques the papers use, named apart from their topics
identity-based cryptography · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Identity-Based Group Encryption With Keyword Search Against Keyword Guessing AttackabstractPublic key Encryption with Keyword Search (PEKS) has emerged as a solution for the receiver to securely search the sender’s encrypted data on the cloud. However, the PEKS scheme is threatened by the Keyword Guessing Attack (KGA), which leaks the receiver’s keyword privacy. To resist KGA, researchers have inherited the authentication mechanism into the PEKS system (PAEKS) but also forbid using one trapdoor to search all sender’s encrypted data. In this paper, we explore the KGA problem from grouping senders and propose the notion of Identity-based Group Encryption with Keyword Search (IBGEKS), which leverages Identity-based cryptography to securely search encrypted data. Compared with the PAEKS scheme, the IBGEKS scheme can search the sender’s ciphertexts within the same group established by the receiver via one receiver’s trapdoor. For security, we analyze the KGA problem and propose ciphertexts, identities, and trapdoors indistinguishability for IBGEKS. The evaluation depicts that the IBGEKS has competitive algorithm performance with other SA-PEKS and PAEKS schemes and has superior search performance on the Enron email dataset. Wei Wang 0088, Dongli Liu, Zilin Zheng, Peng Xu 0003, Laurence T. Yang |
IEEE Trans. Inf. Forensics Secur. | 3 |