DocumentCode
584433
Title
Two-Way Real-Time Authentication System Based on Dynamic Password and Multi-biometric
Author
Hao Zuo ; Yongju Shen ; Shuxian Li ; Huijun Shen
Author_Institution
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
1254
Lastpage
1257
Abstract
In this paper, we have designed a high-security two-way real-time authentication system using dynamic password and multi-biometric to solve the shortages of traditional information system. In order to guarantee the security of fingerprint eigen value and facial feature value, we encrypt them with dynamic password. By the method of two-way authentication, it not only can ensure authentication server to recognize the users, but also guarantee the users to verify authentication server, effectively prevent information from leakage caused by counterfeit servers and tampering. When we use the system, the server gets face feature extraction information from the client every three minutes, to protect the irreplaceable nature of the user. The technology of role-based access control simplifies license management. The technologies of MPEG-4 and local directional mode LDP are used to deal with the information of human face, to quantify the characteristics of the face value.
Keywords
client-server systems; cryptography; eigenvalues and eigenfunctions; face recognition; feature extraction; fingerprint identification; information systems; MPEG-4; authentication server; counterfeit servers; dynamic password; face feature extraction; face value characteristics; facial feature value security; fingerprint eigenvalue security; high-security two-way real-time authentication system; human face information; license management; local directional mode LDP; multibiometric; role-based access control; traditional information system; user recognition; Authentication; Cryptography; Databases; Educational institutions; Face; Fingerprint recognition; Servers;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0721-5
Type
conf
DOI
10.1109/CSSS.2012.318
Filename
6394556
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