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CCS
2008
ACM
15 years 8 months ago
HMAC is a randomness extractor and applications to TLS
In this paper, we study the security of a practical randomness extractor and its application in the tls standard. Randomness extraction is the first stage of key derivation functi...
Pierre-Alain Fouque, David Pointcheval, Séb...
BMCBI
2007
157views more  BMCBI 2007»
15 years 6 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...
COMPSEC
2004
131views more  COMPSEC 2004»
15 years 6 months ago
Biometric random number generators
Abstract Up to now biometric methods have been used in cryptography for authentication purposes. In this paper we propose to use biological data for generating sequences of random ...
Janusz Szczepanski, Elek Wajnryb, José M. A...
ACNS
2009
Springer
168views Cryptology» more  ACNS 2009»
16 years 1 months ago
How to Extract and Expand Randomness: A Summary and Explanation of Existing Results
Abstract. We examine the use of randomness extraction and expansion in key agreement (KA) protocols to generate uniformly random keys in the standard model. Although existing works...
Yvonne Cliff, Colin Boyd, Juan Manuel Gonzá...
ECCV
2010
Springer
15 years 12 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...