Identifying and protecting against a computer security threat while preserving privacy of individual client devices using differential privacy machine learning for streaming data
US10984113B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2018 |
| Grant date | Apr 20, 2021 |
| Priority date | — |
| Expiry date | Oct 30, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1425
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Identifying and protecting against a computer security threat while preserving privacy of individual client devices using differential privacy machine learning for streaming data. In some embodiments, a method may include receiving first actual data values streamed from one or more first local client devices, generating first perturbed data values by adding noise to the first actual data values using a differential privacy mechanism, storing the first perturbed data values, training a machine learning classifier using the first perturbed data values, receiving a second actual data value streamed from a second local client device, generating a second perturbed data value by adding noise to the second actual data value, storing the second perturbed data value, identifying a computer security threat to the second local client device using the second actual data value as input to the trained machine learning classifier, and protecting against the computer security threat.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.