DocumentCode :
2967689
Title :
Data Flow Entropy Collector
Author :
Suciu, Alin ; Marton, Kinga ; Antal, Zoltan
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear :
2008
fDate :
26-29 Sept. 2008
Firstpage :
445
Lastpage :
448
Abstract :
Collecting entropy from various sources available within a regular PC and combining them in an entropy pool is often used as an alternative to pseudo random number generation. Cheaper than using a hardware true random number generator (TRNG), this method offers a good approximation of a TRNG, commonly known as an unpredictable random number generator. The source of unpredictability is ultimately the human-computer interaction that, when complex enough, is irreproducible by an adversary. The present paper proposes a novel approach to combining the entropy from various sources in a data flow manner, thus increasing the degree of unpredictability. The result is a highly unpredictable random number generator, of potentially good quality.
Keywords :
data flow computing; entropy; human computer interaction; random number generation; data flow entropy collector; human-computer interaction; true random number generator; unpredictable random number generator; Entropy; Hardware; Keyboards; Linux; Mice; Pulse modulation; Random number generation; Sampling methods; Scientific computing; Timing; data flow; entropy; entropy source; random number generator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing, 2008. SYNASC '08. 10th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-0-7695-3523-4
Type :
conf
DOI :
10.1109/SYNASC.2008.25
Filename :
5204852
Link To Document :
بازگشت