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Yu Zhou 0056

dblp:36/2728-56 · DBLP profile ↗
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4ranked-venue papers
3as first author
4since 2021 · last 2024
0000-0003-3452-7831ORCID · conflict

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

Theory of computation · 2 · 2 first-author · 2 since 2021Computer networks · 1 · 1 since 2021Security 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
Biometric security · 75% Privacy and data protection · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Biometric security
biometric authentication
0.712023
Face-Based Authentication Using Computational Secure Sketch · IEEE Trans. Mob. Comput. 2023
Privacy and data protection
biometric privacy
0.712023
Face-Based Authentication Using Computational Secure Sketch · IEEE Trans. Mob. Comput. 2023
Biometric security › face recognition
face authentication
0.712023
Face-Based Authentication Using Computational Secure Sketch · IEEE Trans. Mob. Comput. 2023
Biometric security › biometric template protection
secure sketch
0.712023
Face-Based Authentication Using Computational Secure Sketch · IEEE Trans. Mob. Comput. 2023

Methods — techniques the papers use, named apart from their topics

error tolerance · 0.7computational secure sketch · 0.7
YearPublicationVenuePosition
2024 Reusable Fuzzy Extractor from Isogeny
Yu Zhou 0056, Shengli Liu 0001, Shuai Han 0001
ProvSec (2)1
2024 Robustly reusable fuzzy extractor from isogeny
Yu Zhou 0056, Shengli Liu 0001, Shuai Han 0001
Theor. Comput. Sci.1
2023 Computational fuzzy extractor from LWE
Yu Zhou 0056, Shengli Liu 0001, Nan Cui
Theor. Comput. Sci.1
2023 Face-Based Authentication Using Computational Secure Sketch
abstract
Biometric features are quite suitable for identity authentication due to its inherent properties – universality, uniqueness and persistence. In fact, biometric authentication has been widely used in our daily life, especially in mobile devices. However, biometric features are quite sensitive, and once a feature is leaked to an evil adversary, it cannot be used in authentication any more. This leads to a push on research of biometric privacy protection. In this paper, we propose a face-based authentication system with the help of a computational secure sketch. The computational secure sketch takes charge of error tolerance on the face samplings. Then the face features of the same user are used to extract an authentication key, which is in turn used to do the identity authentication for the user. The computational security of the computational secure sketch makes sure that the public information obtained by the adversary does not affect the pseudorandomness of the authentication key, hence the privacy of face features is guaranteed. Moreover, the privacy protection technique in our face-based authentication system can be extended to other biometric-based authentication.
Shengli Liu 0001, You Lyu, Yu Zhou 0056
IEEE Trans. Mob. Comput.4