Title :
More efficient privacy amplification with less random seeds
Author :
Masahito Hayashi;Toyohiro Tsurumaru
Author_Institution :
Graduate School of Mathematics, Nagoya University, Japan
fDate :
6/1/2015 12:00:00 AM
Abstract :
We explicitly construct random hash functions for privacy amplification (extractors) that require smaller random seed lengths than the previous literature, and still allow efficient implementations with complexity O(n log n) for input length n. Firstly, we construct two types of hash functions by using the finite-filed. Then, concatenating them, we construct other two types of hash functions. We compare our hash functions with existing hash function in an asymptotic setting under a fixed key generation rate.
Keywords :
"Entropy","Privacy","Random variables","Computational complexity","Cryptography"
Conference_Titel :
Information Theory (ISIT), 2015 IEEE International Symposium on
Electronic_ISBN :
2157-8117
DOI :
10.1109/ISIT.2015.7282763