Invention Grant
- Patent Title: Utilizing Machine Learning to detect malicious executable files efficiently and effectively
-
Application No.: US17079809Application Date: 2020-10-26
-
Publication No.: US11803641B2Publication Date: 2023-10-31
- Inventor: Changsha Ma , Nirmal Singh , Naveen Selvan , Tarun Dewan , Uday Pratap Singh , Deepen Desai , Bharath Meesala , Rakshitha Hedge , Parnit Sainion , Shashank Gupta , Narinder Paul , Rex Shang , Howie Xu
- Applicant: Zscaler, Inc.
- Applicant Address: US CA San Jose
- Assignee: Zscaler, Inc.
- Current Assignee: Zscaler, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Baratta Law PLLC
- Agent Lawrence A. Baratta, Jr.; Ryan Odessa
- Priority: IN 2011039471 2020.09.11
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06F21/53 ; G06N20/00

Abstract:
Systems and methods include determining a plurality of features associated with executable files, wherein the plurality of features are each based on static properties in predefined structure of the executable files; obtaining training data that includes samples of benign executable files and malicious executable files; extracting the plurality of features from the training data; and utilizing the extracted plurality of features to train a machine learning model to detect malicious executable files.
Public/Granted literature
- US20220083659A1 Utilizing Machine Learning to detect malicious executable files efficiently and effectively Public/Granted day:2022-03-17
Information query