Modeling Cyber Behaviors to Wargame and Assess Risk (MOC-WAR) helps cyber defenders proactively adapt defenses by modeling adversary socio-cultural behaviors, motivations, and biases. Our hybrid approach combines the strengths of various computational models and shores up their weaknesses to enable advanced intelligence analysis. Our objective is to seamlessly integrate MOC-WAR into commercial tools already favored by analysts and defenders to provide a cost-effective solution. MOC-WAR is currently at TRL 3, based on our Phase I prototype implementation. We are currently expanding its modeling capabilities to include active goal management. Charles River Analytics is a provider of innovative R&D solutions for increasingly complex and important human-system challenges. Ideal partners for MOC-WAR transition are developers and/or acquisition communities that are creating tools for cyber defenders and analysts.
Despite advances in automated instruction, virtual environment-based (VE) shiphandling training currently depends on expert trainers working one-on-one with students, which creates significant bottlenecks in the VE-based shiphandling training process. The Shiphandling Educator Assistant for Managing Assessments in Training Environments (SEAMATE) provides instructors with the capability to supervise larger student cohorts and dynamically track student performance through event-based, automated performance feedback and efficient, contextualized alerts. SEAMATE’s instructor-oriented user interface (UI) supports at-a-glance awareness of multiple student performance, provides dynamic feedback to direct instructor attention, and improves instructor awareness of individual student progress and intervention needs. Charles River Analytics’ goal is to transition this technology into government and prime contractor virtual training systems for surface, subsurface, air-vehicle control training, and virtual-environment based part-task training systems.
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Imagery from submarine sensor masts often suffers from a variety of artifacts, which negatively impacts image quality and performance of downstream processing algorithms. Charles River Analytics, a leading provider of innovative R&D solutions for increasingly complex and important human-systems challenges developed Submarine Imaging Real-time Enhancement (SIREN) to detect and correct these artifacts in real-time, which is currently done manually. Beyond a set of “gold standard” video enhancement algorithms and novel artifact removal techniques, SIREN features an image analysis module that detects which artifacts are present and automatically applies the correct enhancement algorithms. Besides submarines, other Navy platforms using EO/IR sensors would benefit from an automated video enhancement system. Legacy security and surveillance systems could use SIREN to immediately improve video quality without expensive hardware upgrades.
When escorting ballistic missile submarines (SSBNs), Type Auxiliary Combat General Escorts (T-AGSEs) maintain their relative position using their dynamic positioning (DP) systems, which rely on scanning lasers to measure positions of targets mounted on SSBNs. Laser sensors performance degrades with rain, snow, fog, smoke, bright lights/sun, and/or excessive vessel motion. Charles River Analytics, a leading provider of innovative R&D solutions for increasingly complex/important human-systems challenges developed Sensor system for Precise Automatic Relative-position Keeping (SPARK) using short-wavelength infrared (SWIR) and covert radiofrequency (RF) sensors to track surfaced SSBNs under all plausible environmental conditions, doesn’t require Sailors to go on deck when underway, and meets regulatory standards for system redundancy by incorporating independent systems based on two different physical principles. Opportunities also exist for SPARK in the commercial maritime industry.
Charles River Analytics, a leading customer-focused provider of innovative R&D solutions for increasingly complex and important human-systems challenges, is developing Advanced Mission Display and Planning Tools (AMPT) providing operators of a multi-vehicle (manned and unmanned), multi-domain (air, ground and sea) common control station with decision support for real-time re-tasking and re-planning of multiple assets. Formal analysis efforts have identified task and information requirements for manned-unmanned teaming, which has driven the design of a set of display concepts and a prototyping and demonstration environment used to validate AMPT technology. We seek to fully integrate software into the PMA-281 Common Control System (CCS) for testing and performance validation and verification.
For 30+ years, Charles River Analytics Inc. has provided intelligent systems technology, software tools, and design/analysis services for government and private industry. We are developing an Embedded Architecture for Cyber-resilience (EAC) to protect cyber-physical systems from cyber threats, ensuring fault isolation for both system- and application-level software components and using novel machine learning algorithms to detect, locate, and automatically recover from compromises due to cyber-attacks. EAC is directly applicable to a number of military and commercial systems including satellites (e.g. CubeSat), avionics, unmanned systems, and industrial control systems. Early versions of EAC have successfully detected component faults and predictably and efficiently recovered from these faults to achieve mission success. We seek to license to large system integrators and integrate into Navy embedded control systems.