Xiaonian Wu

dblp:01/5350 · DBLP profile ↗
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8ranked-venue papers
3as first author
5since 2021 · last 2026
0009-0003-3045-6455ORCID · corroborated

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

Systems, architecture and hardware · 5 · 1 first-author · 3 since 2021Security and privacy · 2 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2026 Quadruplet network based template attack
abstract
Abstract The raw traces collected in side channel attacks are composed of high-dimensional signals with severe noise, which significantly increases the computational complexity of an attack, reduces the performance and the accuracy of an attack, and may even make an attack infeasible. In order to efficiently extract the critical and low-dimensional features from traces to optimize the accuracy of an attack, quadruplet network based template attack is proposed. Firstly, a quadruple sample selection strategy is designed to screen out quadruples that meet the requirements, and a quadruple loss function is designed to measure the similarity between trace sample pairs. Secondly, a quadruplet network model based on densely connected convolutional networks is constructed and trained to obtain an optimal quadruplet network model. Further, the critical and low-dimensional embedded features are extracted by the optimal quadruplet network model. Finally, efficient templates are constructed based on the embedded features to perform template attack. The test results show that the proposed method can efficiently extract the key embedded features from traces to construct efficient templates and optimize the efficiency of template attack. Compared with its counterparts, this technique can optimize the efficiency of template attack on different datasets.
Xiaonian Wu, Yu Mo, Minghui Hou, Hailong Zhang 0001, Runlian Zhang
Comput. J.1
2025 A Novel S-Box Construction Technique Based on the Improved Genetic Algorithms through 2 N-Round Searching
Runlian Zhang, Zhaowen Huang, Xiaonian Wu, Hailong Zhang 0001, Lingchen Li
ISPEC3
2025 Intra-class CutMix data augmentation based deep learning side channel attacks
Runlian Zhang, Yu Mo, Zhaoxuan Pan, Hailong Zhang 0001, Yongzhuang Wei, Xiaonian Wu
Integr.6
2024 A Novel Two-Stage Model Based SCA against secAES
Xiaonian Wu, Runlian Zhang, Hailong Zhang 0001
J. Electron. Test.1
2023 New Second-order Threshold Implementation of Sm4 Block Cipher
Tianyi Shao, Bohua Wei, Yu Ou, Yongzhuang Wei, Xiaonian Wu
J. Electron. Test.5
2019 Histogram Publishing Algorithm Based on Sampling Sorting and Greedy Clustering
Xiaonian Wu, Nian Tong, Zhibo Ye
BlockSys1
2008 An Authorization Mechanism Based on Privilege Negotiation Policy in Grid
abstract
With the dynamic change of users and resources in different secure domains of Grid, the overall consistency of privileges defined would be broken. This would compromise Grid system and waste system overhead on dealing with the increasing grid jobs with invalid privileges. To address the problem, this paper proposes an authorization mechanism based on privilege negotiation policy. This mechanism can detect timely the change of privileges, negotiate automatically and resume quickly the overall consistency of privileges between different secure domains. The test result of the mechanism implementation shows that it shortens greatly the period of resuming the overall consistency of privileges between different secure domains when the consistency was broken. This reduces the number of grid jobs with invalid privileges. Thereby, it avoids wasting more system overhead of dealing with the increasing grid jobs with invalid privileges and improves system performance.
Runlian Zhang, Xiaonian Wu, Xiaoshe Dong, Shangyuan Guan
HPCC2
2004 A Data Grid Security System Based on Shared Context
Nong Xiao 0001, Xiaonian Wu, Wei Fu 0001, Xiangli Qu
NPC2