Skip Navigation
*To search for student contact information, login to FlashLine and choose the "Directory" icon in the FlashLine masthead (blue bar).

gold1

Random Number Generator Based on Turbulent Convection

 KSU.206

Abstract: This is a device for quickly producing streams of totally random, not pseudo-random numbers.  This device relies on the nonlinear amplification of thermal noise that is produced when a liquid is undergoing turbulent flow, to produce an inherently unpredictable sequence of digits.  More specifically, this invention relates to the use of nematic liquid crystals; that when electrically induced, spontaneously form a spatio-temporally chaotic flow.  Under these circumstances, fluctuations in physical properties, such as the light transmissivity of the liquid crystal, are completely random, uncorrelated and unpredictable.  The measurements of these fluctuations yield a stream of truly random numbers.

Applications:

Random number generator is for use in internet, telephone and other telecommunications, for other computing purposes, gaming, research and other applications where random number generation is needed.

Random numbers are at the heart of generating strong encryption for data that must be communicated over open channels like the internet, over cellular telephone circuits, etc.   If the number sequences used for this application are less random (i.e., more predictable) the encrypted data is more vulnerable to attack by unauthorized decryption.

Advantages:

  • Greater randomization; easily multiplexed and hybridized
  • Generates streams of numbers meeting industry standards and DIEHARD tests
  • Offers safer encryption

This device produces true random numbers, unlike pseudo-random generating algorithms.  It does not contain radioactive materials; it can be easily multiplexed to greatly increase the generation rate.  It can be hybridized onto integrated circuit packaging for straightforward interfacing with computing and telecommunications equipment.  This device can be quickly and cheaply fabricated using well established processing technology and materials. Further, this technique generates a stream of numbers that passes the industry standard benchmark and DIEHARD tests for randomness.

Inventors:Dr. James T. Gleeson

Licensing Contact

Suguna Rachakonda

Associate Director, Technology Commercialization

Office: 330-672-3553 Fax: 330-672-7991

Email: srachako@kent.edu