Malicious object detection in 3D printer device management
US12093017B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Sep 4, 2020 |
| Grant date | Sep 17, 2024 |
| Priority date | — |
| Expiry date | Feb 25, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for 3D printer management can allow or reject printing of an object based on a model that is trained with machine learning. In one example, the model classifies the object according to object type. The object type can be compared against a list to determine whether to block the object from printing. The object can also be compared to previously printed objects. The object can be blocked from printing if a combination of the object and a previously printed object amounts to a threshold amount of a blacklisted item. The lists can be specific to users, such as an organizational group to which the user belongs. A print server can apply the model prior to forwarding the object to a 3D printer for printing. Both the models and the lists can evolve based on machine learning, such as based on which print decisions receive override from administrators.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.