Generic feature extraction for identifying malicious packages
US12210628B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 10, 2022 |
| Grant date | Jan 28, 2025 |
| Priority date | — |
| Expiry date | Mar 23, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/034
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Classifying packages based on generic feature extraction. A computer system identifies a set of training packages, including a first subset known to be malicious, and a second subset known to be benign. The computer system extracts a set of training feature vectors from the set of training packages by inputting each training package to a feature extraction model, which generates a training feature vector for each training package. The computer system trains a classification model using the set of training feature vectors. After training the classification model using the set of training feature vectors, a subject package is classified as malicious or benign based on extracting a feature vector for the subject package by inputting the subject package to the feature extraction model, and inputting the feature vector to the classification model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.