Title :
Authentication over noisy data with the use of memory containing metric functions
Author :
Balakirsky, Vladimir B. ; Vinck, A. J Han
Author_Institution :
Inst. for Exp. Math., Univ. of Duisburg-Essen, Essen, Germany
Abstract :
We propose an authentication scheme where the verifier makes the decision based on the value of the metric function, which is assigned depending on the type of the vector stored in the database at the enrollment stage. The scheme has a better performance than the maximum likelihood verification algorithm even for binary symmetric channels.
Keywords :
database management systems; maximum likelihood estimation; message authentication; authentication scheme; binary symmetric channels; database; maximum likelihood verification algorithm; memory containing metric functions; noisy data; Authentication; Gaussian approximation; Measurement; Memoryless systems; Probability distribution; Reactive power; Vectors;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6283645
