SBIR-STTR Award

Ultrafast Physical Random Number Generation Using Hybrid Boolean Networks
Award last edited on: 1/9/2015

Sponsored Program
STTR
Awarding Agency
DOD : Army
Total Award Amount
$149,888
Award Phase
1
Solicitation Topic Code
A14A-T002
Principal Investigator
Andrew Pomerance

Company Information

Eno River Labs LLC (AKA: Triangle Laboratories Inc~Eno River Labs Liquidating Corporation LLC)

2445 South Alston Avenue
Durham, NC 27713
   (919) 281-4040
   N/A
   N/A

Research Institution

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Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2014
Phase I Amount
$149,888
Eno River Technologies and Duke University propose to develop Hybrid Boolean Network (HBN) technology for ultrafast physical random number generation. HBNs are circuits composed partly of unclocked logic elements that exhibit chaotic dynamics and clocked elements that provide readout and synchronization to the system bus. It is hypothesized that the chaotic elements amplify electronic noise in the circuit, which leads to true random number generation (TRNG). HBNs were originally developed by Duke University using low-cost FPGA technology and have been demonstrated to produce random numbers that pass the NIST statistical tests at 12.8 Gbit/s. The goal of Phase I is to mature simulation tools and the theory of operation, perform experiments on HBNs in different operating environments and on different platforms to demonstrate robustness of TRNG operation, and perform system studies to determine optimal HBN architecture. In Phase II, we will develop and demonstrate a network appliance capable of delivering 40 Gbit/s of random numbers for cryptographic applications.

Keywords:
Hybrid Boolean Networks, Physical Chaos, Physical Random Number Generation

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
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Phase II Amount
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