With our increased research efforts at AIS, we have a growing number of patents that have been filed and several that have been awarded. Congratulations to our brilliant employees on their achievements in innovation.
2020 Patents Awarded:
On-GPU Compositioning of Graphical Data From Multiple Domains
Inventors: Jonathan Farrell, Rodney Forbes, Maurice Gale, Brendan Kerrigan, Rian Quinn, Sandy Stutsman
On-GPU Compositioning of Graphical Data From Multiple Domains is a technique for combining application windows from different VMs onto a single graphics card, and doing that combination on the graphics card itself. Previously, the combination occurred on the CPU itself before being transmitted to the graphics card, incurring a significant performance penalty.
Entity Resolution-Based Malicious File Detection
Inventors: Craig Miles and Daniel Scofield
Entity Resolution-Based Malicious File Detection uses advanced machine learning and artificial intelligence techniques to automatically model normal behavior of document viewers to quickly identify suspect documents before they compromise a network. TAFFI is a user-friendly end-point defense solution that the Department of Defense and other transition partners can use to protect their systems against malware-laden documents.
Behavioral Biometric Feature Extraction and Verification (Keystroke)
Inventors: Jacob Baldwin, Ryan Burnham, Robert Dora, Andrew Meyer, Robert Wright
Behavioral Biometric Feature Extraction and Verification is a robust framework for keystroke user verification. Originating from Deep Vectors work, this framework automatically extracts features from datasets that differentiate between individuals through keystroke patterns.
Behavioral Biometric Feature Extraction and Verification (Gait)
Inventors: Jacob Baldwin, Ryan Burnham, Robert Dora, Andrew Meyer, Robert Wright
Behavioral Biometric Feature Extraction and Verification is a robust framework for user verification through gait using smartphones. Originating from Deep Vectors work, this framework automatically extracts features from datasets that differentiate between individuals through gait.
2020 Patents Filed
Code Protection
Inventor: Adam Meily
Code Protection protects and secures sensitive or proprietary interpreted plaintext source code from reverse engineering and tampering. The patent orig-inated from the Raziel IRaD effort, which developed a Python software development kit for performing source code protections and application licensing to Python 3.X projects.
Providing Trusted Virtual Secure Cryptoprocessors For Guests
Inventors: Richard Turner and Joel Upham
Providing Trusted Virtual Secure Cryptoprocessors For Guests provides a virtual secure cryptoproces-sor for a guest virtual machine (VM) whereby the VM state and the cryptoprocessor state is encrypted in a virtual hard disk, controlled and sealed by the Trusted Computing Base (TCB) of the system. A cryptoprocessor can be a Trusted Platform Module (TPM), Secure Enclave Processor (SEP) or similar device, providing enriched security services to the guest VM.
Equivalence Threshold Determination
Inventors: Craig Miles and Daniel Scofield
Extending on the Tiered Approach for File Inspection (TAFFI) patent to add greater automation and accu-racy, Equivalence Threshold Determination is a method for automatically generating classifiers that can accurately determine whether a digital document is malicious or benign based on the observed interactions they induce between the associated document viewer (e.g., PDF -> Adobe Reader) and the underlying operating system.
Our other patents can be found here >>
