DocumentCode :
1717586
Title :
Random ambience key generation live on demand
Author :
Abu, Nur Azman ; Sahib, Shahrin
Author_Institution :
Fac. of Inf. & Commun. Technol., Univ. Teknikal Malaysia Melaka., Ayer Keroh, Malaysia
Volume :
1
fYear :
2010
Abstract :
Noise in computer eco-system has been a nuisance to its users. However, white room noise has the potential to be a source of random numbers. Random numbers plays a critical role and essential part of the security of cryptographic system. Due to the nature of pseudorandom numbers, they are preferred instead due to its efficiency and reliability. As the name suggests, pseudorandom numbers are not truly random. Rather, they are generated from a mathematical formula. The outputs of pseudorandom number generators may exhibit some of the properties of random numbers. Pseudorandom numbers are predictable, periodic and repeatable by the developer of the cryptosystem. Truly random numbers are believed to be generated only using hardware random number generators. Careful statistical analysis is still required to have any confidence in the process and apparatus which generates numbers that are sufficiently `random´ to suit the cryptographic use. In this paper, random numbers are being generated from raw white room noise live on demand. They are also to be tested for randomness according to the selected NIST Statistical Test Suite within a second. Thus, the output numbers are suitable for cryptographic keys in practical application.
Keywords :
cryptography; random number generation; statistical analysis; white noise; NIST statistical test suite; cryptographic system; cryptosystem; pseudorandom number; random ambience key; statistical analysis; white room noise; Encryption; Generators; NIST; Noise; Public key; Cryptographic Keys; Random Ambience; Random Test; White Noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
Type :
conf
DOI :
10.1109/ICSPS.2010.5555609
Filename :
5555609
Link To Document :
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