• DocumentCode
    2121805
  • Title

    An Enhanced Hardware-based Hybrid Random Number Generator for Cryptosystem

  • Author

    Thamrin, N.M. ; Witjaksono, G. ; Nuruddin, A. ; Abdullah, M.S.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam
  • fYear
    2009
  • fDate
    3-5 April 2009
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    In this paper, an enhanced and provably secure hybrid random number generator (Hybrid RNG) for generating the cryptographic keys in a cryptosystem is designed. These keys are the most crucial component in this system as the security of the most cryptosystem lies entirely on it. Therefore, a mechanism to generate this key is presented and the generation platform must be strong and cryptographic secure. The design of hybrid RNG combines a true random number generator (True RNG) which employs single photon detection and a linear feedback shift register (LFSR), which is a hardware - based pseudorandom number generator (Pseudo RNG). Both designs are extremely compact and reliable to be implemented in any cryptographic hardware device. Furthermore, the processing unit in the key generation process is realized by using a full programmable gate array (FPGA) chip and it can be securely used in a cryptosystem. The randomness of Hybrid RNG is tested using NIST statistical test and this method has produced a good statistical result. With the realization of Hybrid RNG, the key generation process in cryptosystem becomes stronger and infeasible to attack.
  • Keywords
    cryptography; random number generation; shift registers; NIST statistical test; cryptographic keys; cryptosystem; full programmable gate array chip; hardware-based hybrid random number generator; hardware-based pseudorandom number generator; linear feedback shift register; single photon detection; true random number generator; Authentication; Cryptography; Data security; Hardware; Hybrid power systems; Information management; Information security; MIMO; Random number generation; Testing; photonic random number generator; random number generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering, 2009. ICIME '09. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-3595-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2009.115
  • Filename
    5077017