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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Analysis and Visualization of Large Complex Multi-Step Cyber Attack Graphs

    SBC: Intelligent Automation, Inc.            Topic: A06T018

    We propose a comprehensive and innovative approach for analysis and visualization of large, complex, multi-step cyber attack graphs. First, we select the radial space-filling hierarchy visualization module for large complex multi-step cyber attack graph due to its strengths in space efficiency and ease of interpretation. Once an attack is correlated, the attack notification service retrieves the ...

    STTR Phase I 2006 Department of DefenseArmy
  2. Advanced Robotic Detection of Chemical Agents, Toxic Industrial Gases, and IEDs for Force Health Protection.

    SBC: IONFINITY, LLC            Topic: A06T029

    We propose to develop a novel chemical agent sensor through a joint collaborative effort between IonFinity, the Jet Propulsion Laboratory, and Imaginative Technologies. This chemical sensor consists of 1) a new and powerful detector called a Differential Mobility Spectrometer which has been developed at Imaginative Technologies by team member Dr. Gary Eiceman, and 2) a novel “soft-ionization” ...

    STTR Phase I 2006 Department of DefenseArmy
  3. Automatic Generation of Robust Network Intrusion Detection Signatures

    SBC: Irvine Sensors Corporation            Topic: OSD06NC2

    Irvine Sensors Corporation (ISC) together with North Carolina State University propose to develop a novel behavioral technique that is capable of detecting network based intrusions, and can then be used to identify signatures for an Intrusion Prevent Engine (IPE). The behavioral technique proposed detects attacks embedded in different network layers using assertions that can be dynamically updated ...

    STTR Phase I 2006 Department of DefenseArmy
  4. Implicit Level Set Based Software for Generating Geometrically and Topologically Accurate Urban Terrain Models Using Implicit Methods

    SBC: Level Set Systems            Topic: A06T011

    We propose a new method developed by our employees and collaborators for the digital representation of real world objects. This will result in an implicit surface urban terrain model that interpolates raw point cloud data. The method can handle complex topologies and geometries easily. Topology changes pose no difficulties. The key idea involves shrink wrapping an implicit surface around data poin ...

    STTR Phase I 2006 Department of DefenseArmy
  5. Software tools for optimization of hybrid fuel cell power supplies

    SBC: Mesoscopic Devices LLC            Topic: A06T014

    The military’s needs for soldier portable power are growing rapidly, and the only way to address this power need today is through batteries. Fuel cell power systems offer the potential of greatly reduced weight to support the soldier’s power needs, but fuel cell power systems today are only poorly optimized. To enable optimization of the fuel cell power systems for given user-specified power ...

    STTR Phase I 2006 Department of DefenseArmy
  6. Botnet Analytics Appliance (BNA)

    SBC: MILCORD LLC            Topic: N/A

    As reported by Internet security threat reports, Bot networks are becoming the focal point for cybercriminals. Milcord and the University of Wisconsin, responds to this challenge with our proposal ¿ a ¿Bayesian Activity Monitor for Botnet Defense¿ (BAM-BD). In this proposal, we will research, design, and develop a botnet detection and mitigation tool that automatically classifies botnet behavio ...

    STTR Phase I 2006 Department of Homeland Security
  7. Passive Object Detection System

    SBC: MIRMAR SENSORS, LLC            Topic: A06T016

    Imaging with X-rays and gamma rays is a long established technique. It is possible with recent technological advances that standard transmission radiography may be extended to self-radiography, where the natural radioactivity of the object itself and the surrounding matrix is used as the source of X-rays. Self-radiography is much more complex than traditional radiography, chiefly because it depend ...

    STTR Phase I 2006 Department of DefenseArmy
  8. Nanoscale Antennas

    SBC: Nanolab, Inc            Topic: A06T012

    This effort will culminate in the demonstration of a new class of antennas, to allow the coupling of RF signals with nanoscale devices and sensors. An antenna for RF must be millimeters long, and nanoscale in diameter, if it is to interact with nanoscale devices. The aligned carbon nanotubes grown at NanoLab are synthesized in millimeter lengths, have good conductivity, and therefore should make ...

    STTR Phase I 2006 Department of DefenseArmy
  9. High-throughput Direct Structural Screening for Drug Lead Compounds

    SBC: NATURAL SELECTION, INC.            Topic: A06T032

    The Army has an obvious and immediate need for greater exploration of small molecules in the search for novel anti-malarial drugs. The innovative techniques offered in this proposal utilize methods of iterated automated fragment assembly coupled with an intelligent compound screening tool to facilitate scientific advancement. The resulting computational methods can increase the rate and exploratio ...

    STTR Phase I 2006 Department of DefenseArmy
  10. Gamma Ray Array for Passive Detection of Hidden Objects

    SBC: NEVA RIDGE TECHNOLOGIES, INC.            Topic: A06T016

    Neva Ridge Technologies and its academic partner the University of New Hampshire, introduce an innovative application of technology originally developed for gamma ray astronomy. Under this phase 1 effort we will show the feasibility of an approach that will allow for the detection of hidden objects in buildings and of voids and tunnels underground. It will rely on naturally occurring “backgrou ...

    STTR Phase I 2006 Department of DefenseArmy
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