Patent · US Active

Predicting code vulnerabilities using machine learning classifier models trained on internal analysis states

US11573785B2 · kind B2 · utility

1Cited by

0References

20Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

Fady Copty · Nazareth, IL
Shai Doron · Kfar Sava, IL
Reda Igbaria · Umm al-Fahm, IL

Key dates

Filing date	May 14, 2020
Grant date	Feb 7, 2023
Priority date	—
Expiry date	Feb 26, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/20
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An example system includes a processor to receive a source code sample to be classified. The processor can execute a hybrid code analysis to generate an internal analysis state. The processor can extract features from the internal analysis state via a trained machine learning model modified using transfer learning. The processor can generate a label based on the extracted features via a machine learning classifier model trained on internal analysis states of hybrid code analyses.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.