Software & Algorithms

Software & Algorithns | NDSU Research Foundation

Generic fuzzer for scanning cyber physical, computer, and network connected device systems (RFT-686)

This patent application introduces an advanced cybersecurity system that leverages AI and machine learning to detect and mitigate vulnerabilities in networked infrastructures. The system continuously monitors network behavior and integrates various data sources, such as system logs, anomaly detection models, and threat databases, to create a comprehensive risk profile for each node or device. Its hierarchical architecture ensures scalable deployment across different network layers while maintaining centralized control and analytics. The system enhances security with automated mitigation measures like traffic throttling and access reconfiguration by recognizing known and emerging threats through pattern analysis. Additionally, its adaptive learning capabilities enable continuous model refinement, making it highly effective for enterprise networks, critical infrastructure, and high-security environments.

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Building Specification Mapping Plug-In Automatically Prepares Specification Manual with Architectural Software (RFT-525)

Scientists at NDSU, in collaboration with architects at RLE Holdings, Inc., have developed SpecMapper™, a plug-in that enables existing architectural software to automatically produce, update, and maintain the specification manual for a building. This saves time and money throughout a building’s life (including design, bid, construction, and post-construction facility management). SpecMapper™ is a mapping of building assembly codes (as used in Building Information Model (BIM) software products such as Revit) and specification sections (as found in the MasterSpec set of specification sections). This plug-in links building components in a BIM to appropriate specification sections, which may also include maintenance information for facilities management. The result is a streamlined workflow in a paperless environment and a reduction of errors, which result in significant time savings and reduced risk of liability.

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Software-Based Mass Customization of Artificial Neural Networks and Its Benefits (RFT-681)

This technology introduces a user-friendly software platform designed for the mass customization of artificial neural networks (ANNs).

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Autonomous Capability for Network Security Testing (RFT-665)

This technology automates cybersecurity penetration testing, simulating realistic cyberattacks to identify and exploit vulnerabilities.

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GRADIENT DESCENT TRAINING FOR DEFENSIBLE ARTIFICIAL INTELLIGENCE (RFT 653)

This technology uses gradient descent to optimize AI network structures, enhancing transparency and making decisions auditable and reliable.

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Additive Manufacturing System Incorporated with Artificial Intelligence (RFT-635)

AI-enhanced 3D printing system using continuous carbon fiber-reinforced composites to improve mechanical strength and efficiency.

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