Ruxian Li

dblp:81/9409 · DBLP profile ↗
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5ranked-venue papers
0as first author
4since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 4 · 4 since 2021Artificial intelligence and machine learning · 1
YearPublicationVenuePosition
2024 FAMC: Fair and Publicly Auditable Multi-Party Computation with Cheater Detection
Yong Li 0002, Yueyang Feng, Xi Chen 0063, Ruxian Li, Kewei Lv
ICICS (2)5
2023 Blockchain Based Publicly Auditable Multi-party Computation with Cheater Detection
Shan Jin 0001, Yong Li 0002, Xi Chen 0063, Ruxian Li
ICICS4
2023 Blockchain-based fairness-enhanced federated learning scheme against label flipping attack
Shan Jin 0001, Yong Li 0002, Xi Chen 0063, Ruxian Li, Zhibin Shen
J. Inf. Secur. Appl.4
2022 Redactable Blockchain with K-Time Controllable Editing
abstract
Considering the immutability of traditional blockchain restricts the governance and regulation of sensitive data on chain, this paper proposes a redactable blockchain scheme with k-time controllable cheating editing (CCE-RB for short). In the CCE-RB scheme, the regulator requires editors to generate vector commitments, so as to set the number of times each editor’s editing permissions can be used. The editor needs to open each component of the vector commitment successively before each editor prove that he/she has enough number of times of editing. The regulator has the right to revoke the editor’s editing permission when the editor’s editing times are exhausted or cheating editing behavior occurs, thus realizing the revocability of the editor’s editing permission. In a word, CCE-RB achieves regulation of whole editing process by block editability, controllability of editing times and revocability of editing permissions. By comparing and analyzing related schemes, the experiment results show that CCE-RB scheme has good efficiency.
Yong Li 0002, Xi Chen 0063, Ruxian Li
TrustCom4
2011 Study on the inventory control of deteriorating items under VMI model based on bi-level programming
Hongjie Lan, Ruxian Li, Zhigao Liu, Ruijiang Wang
Expert Syst. Appl.2