Title :
Large deviations for performance analysis of signature authentication
Author :
O´Sullivan, Jose A. ; Ryleeva, Natalia
Author_Institution :
Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA
fDate :
29 Jun-4 Jul 1997
Abstract :
In signature authentication schemes, a noisy measurement of a signature is used as a template against which a noisy measurement of a candidate signature is compared for authenticity. The signatures are modeled as realizations of a random process with known statistics. Stein´s lemma may be used to determine the rate function for the probability of missed detection for an optimal detector. We consider in detail the special case where the signature and the noise are zero mean stationary Gaussian random processes. We find the rate function parameterized by the power spectra of the processes. These results quantitatively describe the tradeoffs in design of actual systems
Keywords :
Gaussian processes; channel capacity; handwriting recognition; message authentication; optimisation; probability; random noise; random processes; signal detection; spectral analysis; Stein´s lemma; large deviations; missed detection probability; noisy measurement; optimal detector; performance analysis; power spectra; random process; rate function; signature authentication; statistics; systems design; template; zero mean stationary Gaussian random processes; Authentication; Covariance matrix; Detectors; Electric variables measurement; Laboratories; Performance analysis; Probability; Random processes; Statistics; Strips;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613091
