
AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level SecurityAward last edited on: 11/22/2024
Sponsored Program
STTRAwarding Agency
DOD : NavyTotal Award Amount
$139,988Award Phase
1Solicitation Topic Code
N19B-T029Principal Investigator
Fei HuCompany Information
Phase I
Contract Number: N68335-19-C-0764Start Date: 9/4/2019 Completed: 3/4/2020
Phase I year
2019Phase I Amount
$139,988Benefit:
The AI and ML approaches we propose for this STTR have their primary applications for the Next Generation Naval Mission Planning System (NGNMPS) to support airwing integration and interoperability across 4th and 5th generation platforms. As we mature this AI & ML, we envisage code developed in Phase III of this effort tailored for the next MAPEM deployment that will further mature the NGNMPS capability enabling multi-generational, cross platform access to planning information for Carrier Airwing, MAGTF, Joint Force and Coalition Operations. We also project numerous multi-use commercial applications where AI structured mission planning tools provide high fidelity pre-flight information that is further enhanced inflight with AI defined communication suites, balanced by contemporary deep learning and other AI/ML algorithms to predict, identify and counter against sophisticated information network attacks. We project that our proposed capabilities will assist in accelerating the introduction of unmanned commercial air cargo transportation into the civil airspace. Our commercialization strategy analysis also projects a significant use case for our proposed concept in the arena of emergency management/response at the Federal and State levels.
Keywords:
cyber security, cyber security, mission planning, Reinforcement Learning, net enabled weapons, AI, ML, MLS
Phase II
Contract Number: ----------Start Date: 00/00/00 Completed: 00/00/00