While often effective, today's hardware-centric Assured PNT (APNT) antennas are limited with respect to extensibility and their ability to provide actionable navigation warfare situational awareness. Given the rate and sophistication at which PNT attacks are evolving, a software-based AI/ML approach may have complementary benefits in this domain while also remaining scalable. The proposed solution takes the form of an automated, AI/ML-driven navigation warfare situational awareness software-module targeting integration into Navy GPNTS systems.
Benefit: The proposed solution is expected to further the cyber resiliency and system assurance fields through the creation of a low-cost, software-only navigation warfare situational awareness solution supporting GPS spoof/jam detection, attack attribution as well as navigation persistence via the proposed AI/ML architecture specifically targeting Navy GPNTS integration. The project is an ideal fit for BlueRISC and will provide a strong opportunity to not only target government programs but to also transition the technology to the commercial sector given the broad applicability of the technology.
Keywords: positioning, positioning, GPS, Jam, Machine Learning, Spoof, Navigation, timing, AI
