Invention Application
- Patent Title: MALICIOUS OBJECT DETECTION IN A RUNTIME ENVIRONMENT
-
Application No.: US16780218Application Date: 2020-02-03
-
Publication No.: US20200175166A1Publication Date: 2020-06-04
- 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
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06N20/00 ; H04L29/06

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
- US11568051B2 Malicious object detection in a runtime environment Public/Granted day:2023-01-31
Information query