Training a machine learning model for container file analysis

US11188646B2 · kind B2 · utility

Assignee

• Cylance Inc. · US

Inventors

• Xuan Zhao · Irvine, US
• Matthew Wolff · Laguna Niguel, US
• John Brock · Irvine, US
• Brian Wallace · Irvine, US
• Andy Wortman · Irvine, US
• Jian Luan · Irvine, US
• Mahdi Azarafrooz · Irvine, US
• Andrew Davis · Williston, US
• Michael Wojnowicz · Irvine, US
• Derek A. Soeder · Irvine, US
• David Beveridge · Hillsboro, US
• Yaroslav Oliinyk · Portland, US
• Ryan Permeh · Laguna Hills, US

Key dates

• Filing date: Oct 24, 2019
• Grant date: Nov 30, 2021
• Expiry date: Oct 24, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

In one respect, there is provided a system for training a machine learning model to detect malicious container files. The system may include at least one processor and at least one memory. The at least one memory may include program code that provides operations when executed by the at least one processor. The operations may include: training, based on a training data, a machine learning model to enable the machine learning model to determine whether at least one container file includes at least one file rendering the at least one container file malicious; and providing the trained machine learning model to enable the determination of whether the at least one container file includes at least one file rendering the at least one container file malicious. Related methods and articles of manufacture, including computer program products, are also disclosed.