Invention Grant
- Patent Title: Malicious object detection in a runtime environment
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Application No.: US16780218Application Date: 2020-02-03
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Publication No.: US11568051B2Publication Date: 2023-01-31
- Inventor: Mingwei Zhang , Xiaoning Li , Ravi L. Sahita , Aravind Subramanian , Abhay S. Kanhere , Chih-Yuan Yang , Yi Gai
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Alliance IP, LLC
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06N20/00 ; H04L29/06 ; H04L9/40

Abstract:
A malicious object detection system for use in managed runtime environments includes a check circuit to receive call information generated by an application, such as an Android application. A machine learning circuit coupled to the check circuit applies a machine learning model to assess the information and/or data included in the call and detect the presence of a malicious object, such as malware or a virus, in the application generating the call. The machine learning model may include a global machine learning model distributed across a number of devices, a local machine learning model based on use patterns of a particular device, or combinations thereof. A graphical user interface management circuit halts execution of applications containing malicious objects and generates a user perceptible output.
Public/Granted literature
- US20200175166A1 MALICIOUS OBJECT DETECTION IN A RUNTIME ENVIRONMENT Public/Granted day:2020-06-04
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