|   | CMU-CS-00-134 Computer Science Department
 School of Computer Science, Carnegie Mellon University
 
    
     
 CMU-CS-00-134
 
Secure Continuous Biometric-Enhanced Authentication 
Andrew J. Klosterman, Gregory R. Ganger 
May 2000 
CMU-CS-00-134.psCMU-CS-00-134.pdf
 Keywords: Computer security, authentication, biometric, eigenface
 Biometrics have the potential to solidify person-authentication by 
examining "unforgeable" features of individuals. This paper explores
issues involved with effective integration of biometric-enhanced 
authentication into computer systems and design options for addressing 
them. Because biometrics are not secrets, systems must not use them like
passwords; otherwise, biometric-based authentication will reduce
security rather than increase it. A novel biometric-enhanced 
authentication system, based on a trusted camera that continuously uses 
face recognition to verify identity, is described and evaluated in the 
context of Linux. With cryptographically-signed messages and continuous
authentication, the difficulty of bypassing desktop authentication can be
significantly increased.
 
26 pages 
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