Gigabit/Second Random Number Generator Using White Noise Generated by Delayed Optical Homodyne

Award Information
Agency:
Department of Commerce
Branch
National Institute of Standards and Technology
Amount:
$75,000.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
SB1341-06-W-0733
Award Id:
80993
Agency Tracking Number:
428-28
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
201 Circle Drive North, Unit 102, Piscataway, NJ, 08854
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Jie Yao
() -
Business Contact:
Jie Yao
(732) 302-9274
jieyao@alumni.princeton.edu
Research Institution:
n/a
Abstract
As more and more information is stored digitally and transmitted over the Internet, data and communication security becomes an ever more severe problem facing the military, the government and the financial industry, both for the United States and for all other developed countries. The need for data encryption technology is most urgent. One of the key technologies involved is the generation of truly random numbers. Having worked extensively on the random noise behavior of light-emitting devices, researching and developing both broad-band light-emitting diodes and low-noise semiconductor lasers for many different areas of applications, SMI proposes Gigabit/second Random Number Generator using the white phase noise generated by delayed optical homodyne. Preliminary experimental data from the proposed device design already shows the true randomness of the output signal stream. With the unique advantages of being a truly random noise generator at Gigabits per second speed, the proposed device maximizes the information entropy of the encrypting key, and provides optimal security to the precious data requiring high security. COMMERCIAL APPLICATIONS: Potential commercial applications exist in military and government data storage security, military and government communication encryption, data and communication encryption and security for the financial industry, private data security, and so on.

* information listed above is at the time of submission.

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