• 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