Advances in Biometrics for Secure Human Authentication and - download pdf or read online

By Tyler Justin Speed

ISBN-10: 1439809828

ISBN-13: 9781439809822

ISBN-10: 1466582421

ISBN-13: 9781466582422

ISBN-10: 146658243X

ISBN-13: 9781466582439

''Supplying a high-level evaluate of the way to guard your company's actual and intangible resources, Asset security via safeguard expertise explains the simplest how one can enlist the help of your staff because the first defensive line in safeguarding corporation resources and mitigating protection hazards. It experiences key issues surrounding computing device security--including privateness, entry controls, and possibility management--to help Read more...

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Pdf. T. Dunstone and G. Poulton. Biometric Vulnerability: A Principled Assessment Methodology. , Sept. 2006. K. H. M. Bolle. An analysis of minutiae matching strength. In Proceedings of the 3rd International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA ’01), 223–228, Halmstad, Sweden, 2001. T. Matsumoto, H. Matsumoto, K. Yamada, and S. Hoshino. Impact of artificial “gummy” fingers on fingerprint systems. In Optical Security and Counterfeit Deterrence Techniques IV.

H. M. Bolle. An analysis of minutiae matching strength. In Proceedings of the 3rd International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA ’01), 223–228, Halmstad, Sweden, 2001. T. Matsumoto, H. Matsumoto, K. Yamada, and S. Hoshino. Impact of artificial “gummy” fingers on fingerprint systems. In Optical Security and Counterfeit Deterrence Techniques IV. Proceedings of SPIE 4677, 275–289, San Jose, CA, 2002. T. Matsumoto, M. Hirabayashi, and K. Sato. A vulnerability evaluation of iris matching (part 3).

With permission. 8 (a) Attack potential of both systems, (b) VALs for system a, (c) VALs for system b, and (d) gray scale legend for VALs. (From T. Dunstone and G. Poulton, Biometric Vulnerability: A Principled Assessment Methodology. Biometrics Institute Ltd. ) in this case, does not seem vulnerable to this threat regardless of the access or attack level. 8b). 21. In practice, this means that an attacker who is familiar with these systems would have, at most, a 21% chance of fooling the system at each attack (with a confidence interval of 95%).

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Advances in Biometrics for Secure Human Authentication and Recognition by Tyler Justin Speed


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