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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. 9-1-1 Network Modeling Based Upon PARIDINE NIDE Model

    SBC: SECURELOGIX CORPORATION            Topic: HSB0191007

    SecureLogix is a current performer on the PARIDINE project and is focused on defining and detecting NIDEs such as Telephony Denial of Service (TDoS) and other call pattern-based attacks against 9-1-1 networks. Our approach is to enhance our cloud-based Call Authentication Service (CAS), extending its inherent authentication and spoofing detection capabilities, with the ability to use machine learn ...

    SBIR Phase I 2019 Department of Homeland Security
  2. Blockchain Forensic Analytics

    SBC: Integra FEC LLC            Topic: HSB0191008

    As blockchain technologies continue to evolve and emerge, DHS and numerous other Federal agencies have an increasing need to trace new cryptocurrencies and cryptotokens to support investigations and enforcement actions. Some new cryptocurrencies, such as Zcash and Monero, are designed to provide anonymity to users and thus pose challenges to enforcement agencies looking to track and curtail illici ...

    SBIR Phase I 2019 Department of Homeland Security
  3. Real-Time Passive Authentication for Contact Centers

    SBC: Illuma Labs Inc.            Topic: HSB0171003

    Vulnerabilities in telecommunications channels are being exploited at alarming rates by malicious attackers to commit fraud, perpetrate scams, and organize data breaches. In addition to financial losses incurred by corporations and taxpayers, attacks against government agencies such as the DHS can severely compromise national security. A common element of these attacks is the attacker's ability to ...

    SBIR Phase II 2019 Department of Homeland Security
  4. High Acceleration and Hypervelocity Inertial Measurement Unit

    SBC: ENGENIUSMICRO LLC            Topic: OSD181001

    Gun-launched applications currently expose inertial measurement units (IMUs) to harsh acceleration, shock, and vibration environments. Furthermore, as they become smarter, they present tighter constraints on size, weight, power, and cost (SWaP-C), while still requiring high levels of performance. New accelerometer technology must reduce SWaP-C while operating through high-g acceleration environmen ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  5. High Acceleration and Hypervelocity Inertial Measurement Unit

    SBC: NANOHMICS INC            Topic: OSD181001

    Nanohmics proposes to develop a chip-scale inertial measurement unit (IMU) for munitions applications. The miniaturization is key to extreme-G survivability and operation. Models and simulations will provide primary support for the feasibility and a hardware demonstration will provide additional proof-of-concept and improve the program risk assessment prior to a Phase II program.

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  6. Electro-optical Seeker

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: OSD181002

    Mission times for high velocity projectiles (HVP) are very short and detection and discrimination of targets must happen quickly and decisively. One way to achieve this is through the enhanced contrast resulting from polarized sensing, which tends to highlight manmade objects and suppress natural background clutter. Thermal polarimetric sensing in a small package has been demonstrated already but ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  7. Electro-optical Seeker Based on HgCdTe Photodetection

    SBC: EPISENSORS INC            Topic: OSD181002

    The capability to reliably and remotely detect and track tactical surface targets in a high-velocity projectile after launch is a critical need. The discrimination of man-made objects can be assisted by the detector technology, with options including two-color detectors and polarimetric filtering in the thermal infrared bands. The level of complexity in the focal plane array affects its survivabil ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  8. High Velocity Gun-Launched Projectile and Sabot Structures

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: SCO182003

    The development of a guided hypervelocity projectile (HVP) must surmount a number of significant technical challenges. Texas Research Institute Austin (TRI Austin) proposes to address leading edge/control surface challenges, sabot design, and the sub-projectile issues through the selection of materials, material processes, and component manufacturing methods. TRI Austin has assembled a team of tec ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  9. Secure Edge Computing with Encrypted Neural Networks

    SBC: VCRSOFT LLC            Topic: SCO182009

    Homomorphic Encryption (HE) allows for training and deployment of neural networks on encrypted data. Furthermore, HE allows for encryption of neural network model parameters such as weights. Thus, HE provides robustness against both black-box and white-box attacks. In the emerging cloud-based AI environments with edge computing nodes, HE enables privacy-preserving training and deployment of neural ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  10. Quantum Adversarial Machine Learning

    SBC: VCRSOFT LLC            Topic: SCO183001

    We propose a quantum adversarial machine learning (QAML) approach that combines ideas from different classical AML techniques such as Defense-GAN and thermometer-encoding of inputs. We propose an implementation of Defense-GAN on the D-Wave Leap quantum computing environment. We also propose to leverage ideas from quantum information science such as noisy inputs/outputs/parameters to improve the ro ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
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