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