SBIR/STTR Research Award

SBIR Phase I: Quantum Random Walking for Ultra-High Speed, Parallel and Truly-random Number Generation

Award identifier 5dabaaa97f933de1319ceeabe73f268242b2b0cfecd470c4367dc7490ddea8f6Awarding agency National Science Foundation

Award amount

$224,825

Program and phase

SBIR · Phase I

Award year

2017

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Axion Technologies
Proposal award date
2016-12-15
Contract end date
2017-07-31
UEI
FRG9VYPRTTZ5
Solicitation number
Not reported
Topic code
IT

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project includes: 1) development of novel encryption and authentication technology to improve cybersecurity and 2) the reduction of economic loss due to data breaches. The larger societal need for new technologies in the cyber arena has been well documented over the past 10 years. With the growing dependence on computers in practically every aspect of modern life, use of social media, large industries moving towards high performance (faster) computing networks and the coming era of the Internet of Things (IoT), the market for cyber technology is expected to grow at a steady rate of as much as 15% annually. This project will create a high speed, parallel and Truly-Random Number Generator (TRNG) with signal embedding capabilities. With an optical core, the device will have advantages over many of the currently available, pseudo-RNG devices based on silicon chip technologies that have been shown vulnerable to hackers. Additionally, this device will provide a framework for continuous development and possible online authentication features to compliment the hardware. This Small Business Innovation Research (SBIR) Phase I project will result in development of a prototype device to assess the feasibility of a commercial product. The basis of the innovation is the use of quantum phenomena in optics to create randomness, also known as noise. Quantum mechanics has proven to be the underlying mechanism for noise processes used the world over in encryption of data. In this case, the process of creating noise can be adjusted, oscillated at some frequency, to produce embedded signals overlaid with the random output. This gives the final design applications well beyond encryption. With the rise of high performance computing networks in scientific simulations, health care patient tracking, financial institution accessibility, education, etc., the ability to use the embedding feature to track authentication credentials and perform continuous monitoring of equipment accessing a network becomes paramount to securing networks as well as data. During this project the basic design will be refined with the aim of producing a rescaled, commercial product.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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