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Awards

Topic Information Award/Contract Number Proposal Information Company Performance
Period
Award/Contract
Value
Abstract

15.OATS-001
Nonlinear Laser Wave Mixing for Trace Detection of Explosives

D15PC00245 DHS SBIR-2015.OATS-15.OATS-001-0001-II
(DHS SBIR-2015.OATS Phase II)
Nonlinear Laser Wave Mixing for Trace Detection of Explosives

Audentia, Inc.
2757 Bordeaux Ave
La Jolla, CA 92037-2030

09/30/2015
to
10/14/2017
$749,827.57

To overcome current problems, Audentia, Inc., proposes to enhance, develop and demonstrate nonlinear laser wave-mixing detectors that offer standoff detection of explosives in their native form at ambient temperature and pressure using compact rugged laser-based designs. Taking advantage of high spectral resolution available from tunable solid-state lasers (without monochromators), our prototype in Phase II is expected to offer better chemical specificity and detection sensitivity levels with low false alarm rates. Our patented laser wave-mixing methods allow efficient use of low laser power levels (e.g., 0.01 W) and we have collected zeptomole-level Phase I results using different fixed and tunable lasers from UV, visible, near IR to mid-IR (quantum cascade laser) wavelengths. We will demonstrate our Phase II prototype, using real-world samples and conditions, for real-time detection of explosives in their native forms without the use of tags/labels or time-consuming sample preparation steps. Our university partner, Distinguished Professor Bill Tong, has more than 35 years of nonlinear laser spectroscopy experience and has published 33 papers on laser wave mixing alone.

15.OATS-002
A Real-Time Application Security Analyzer

D15PC00249 DHS SBIR-2015.OATS-15.OATS-002-0001-II
(DHS SBIR-2015.OATS Phase II)
A Real-Time Application Security Analyzer

RAM Laboratories, Inc.
591 Camino de la Reina
Suite 610
San Diego, CA 92108-3108

09/28/2015
to
10/13/2017
$749,993.51

Software developers are faced with a variety of security challenges when developing and deploying new systems. The software may be subject to malicious insiders, external threats and supply chain threats that access systems through poor software hygiene or the presence of zero-day vulnerabilities that the vendor is not aware of. While an array of software assurance tools have been developed that audit code at the source code or static binary level, existing tools do not perform dynamic binary analysis with source code checking to assist developers, nor do they provide a drill-down into software libraries to assist supply chain management in gaining a compliance assessment for the entire software solution. To address these shortfalls, this project extends the research and development of RAM Laboratories' Real-Time Application Security Analyzer (RASAR) tool. RASAR currently detects and characterizes security vulnerabilities (including zero-day vulnerabilities) in both under development and 3rd party software through source code analysis and dynamic binary instrumentation. This project will add capabilities to the tool suite that prioritize the vulnerabilities as defined by Common Weakness Enumeration, correlate identified binary vulnerabilities with both vulnerabilities found in the Common Vulnerability Exposure database and available source code flaws, and provide a compliance dashboard that tracks and reports supply chain issues for the user. Additionally, audit results will be visualized by the user through the use of a compliance dashboard. The resulting tool will be integrated within the Software Assurance Marketplace.