SBIR/STTR Research Award
ACPT: A User-friendly, Efficient, Reliable, and Generic Access Control Policy Modeling, Verification, and Testing Tool
Award amount
$100,000Program and phase
SBIR · Phase IAward year
2015Award details
- Awarding agency
- Department of Commerce
- Branch
- National Institute of Standards and Technology
- Recipient company
- INFOBEYOND TECHNOLOGY LLC
- Proposal award date
- 2015-10-01
- Contract end date
- 2016-04-30
- UEI
- JMXHCAK12LZ7
- Solicitation number
- Not reported
- Topic code
- 9.03.02.77-R
Research abstract
InfoBeyond Technology advocates the development of a user-friendly, efficient, reliable, and generic Access Control Policy modeling, verification, and Testing (ACPT) Tool. InfoBeyond Technology’s ACPT enhances NIST’s ACPT design and adds several advanced features for achieving high security confidence AC levels such that it can be commercialized. It provides user-friendly GUI templates for users to compose attributes, enable property test by a model checker, and perform combinatorial test. It specifically improves the NIST ACPT design to provide a robust, unified, and generic model checker while static and dynamic attribute constraints are integrated for an Attributed-based Access Control framework. It enables effective policy test for test generation and execution and provides APIs to support third party deployment. In addition, ACPT has the web service design to facilitate the ACPT webification and evolution in a distributed computing environment.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- MsObjDET: AI-based Multi-Spectral Passive Object Detection using Spatiotemporal Transformer and YOLO with Dynamic Tracking Integration
- GANWave: GAN-enabled OFDM High Capacity Waveform for Low Identification and Detection Probability with Energy Efficiency and Security
- AI-Fire: Advanced Fire Ignition Video Analysis through Multimodal Spatiotemporal Detection & Localization Using Transformer-Enhanced YOLO
- MineDL: Efficient Mine Detection and Localization Using Advanced YOLO and LSTM with Few-Shot Learning
- UnifiedDL: Secure Metadata-enabled Intelligent Data Integration and Management Lake by AI-powered Graph Canonization and Parallel Processing
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
Research funding history
44 SBIR/STTR records share this UEI (2010–2025). Reported award amounts total $13,013,950. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Energy, Department of Commerce, Department of Transportation