Title :
Secure and privacy-preserving biometrics based active authentication
Author :
Sui, Yan ; Zou, Xukai ; Du, Eliza Y. ; Li, Feng
Author_Institution :
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA
Abstract :
User authentication is critical in preventing system breaches. Existing authentication approaches usually do a onetime log-in authentication, but rarely incorporate mechanisms to differentiate the initial log-in user and the user who is currently taking control of the system, which may cause post-authentication breaches. In this paper, we study user authentication for both login session and post-authentication session and propose a biometrics based active authentication approach. Moreover, concerning the usage of biometrics, the system is biometrics-secure and privacy-preserving. Security analysis and experimental results prove that the proposed approach is secure, resilient to various attacks and effective.
Keywords :
biometrics (access control); data privacy; message authentication; biometrics based active authentication approach; biometrics-secure system; log-in session; onetime log-in authentication; post-authentication session; privacy-preserving system; user authentication; Authentication; Feature extraction; Ice; Iris recognition; Servers; User authentication; active authentication; biometrics; privacy-preserving;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6377911