DocumentCode :
3766088
Title :
A geometric perspective on guesswork
Author :
Ahmad Beirami;Robert Calderbank;Mark Christiansen;Ken Duffy;Ali Makhdoumi;Muriel Médard
Author_Institution :
Department of Electrical and Computer Engineering, Duke University, USA
fYear :
2015
Firstpage :
941
Lastpage :
948
Abstract :
Guesswork is the position at which a random string drawn from a given probability distribution appears in the list of strings ordered from the most likely to the least likely. We define the tilt operation on probability distributions and show that it parametrizes an exponential family of distributions, which we refer to as the tilted family of the source. We prove that two sources result in the same guesswork, i.e., the same ordering from most likely to least likely on all strings, if and only if they belong to the same tilted family. We also prove that the strings whose guesswork is smaller than a given string are concentrated on the tilted family. Applying Laplace´s method, we derive precise approximations on the distribution of guesswork on i.i.d. sources. The simulations show a good match between the approximations and the actual guesswork for i.i.d. sources.
Keywords :
"Entropy","Probability distribution","Decoding","Source coding","Security","Computers","Electronic mail"
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2015 53rd Annual Allerton Conference on
Type :
conf
DOI :
10.1109/ALLERTON.2015.7447109
Filename :
7447109
Link To Document :
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