Automatically reducing use of cheat software in an online game environment
US11213755B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 27, 2020 |
| Grant date | Jan 4, 2022 |
| Priority date | — |
| Expiry date | Feb 27, 2040 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63F13/837
- WIPO fieldFurniture, games
- WIPO sectorOther fields
Abstract
Techniques are described for automatically reducing cheating in an interactive execution environment, such as to perform automated operations to detect and stop use of cheat software in an online game environment, and to restrict subsequent access to the online game environment for users who are identified as using cheat software. The techniques may include using deep learning techniques to train one or more models to classify particular types of gameplay actions as being unauthorized if cheat software use is detected, including to determine a likelihood of whether a separate cheat detection decision system would decide that particular gameplay actions are authorized or not authorized if the additional cheat detection decision system assesses those gameplay actions, and then using the trained model(s) and in some cases the additional cheat detection decision system for the cheat software detection and prevention.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.