Invention Grant
- Patent Title: Efficient on-device binary analysis for auto-generated behavioral models
-
Application No.: US14295561Application Date: 2014-06-04
-
Publication No.: US09721212B2Publication Date: 2017-08-01
- Inventor: Rajarshi Gupta , Vinay Sridhara , Satyajit Prabhakar Patne , Mihai Christodorescu
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: The Marbury Law Group/Qualcomm
- Main IPC: G06N5/00
- IPC: G06N5/00 ; G06F1/00 ; G06N99/00 ; G06F21/55

Abstract:
Various aspects provide methods implemented by at least one processor executing on a mobile communication device to efficiently identify, classify, model, prevent, and/or correct the non-benign (e.g., performance degrading) conditions and/or behaviors that are related to an application operating on the device. Specifically, in various aspects, the mobile computing device may derive or extract application-specific features by performing a binary analysis of an application and may determine the application's category (e.g., a “games,” “entertainment,” or “news” category) based on the application-specific features. The mobile computing device may also obtain a classifier model associated with the application's category that includes various conditions, features, behaviors and corrective actions that may be used to quickly identify and correct non-benign behaviors (e.g., undesirable, malicious, and/or performance-degrading behaviors) occurring on the mobile computing device that are related to the application.
Public/Granted literature
- US20150356451A1 Efficient On-Device Binary Analysis for Auto-Generated Behavioral Models Public/Granted day:2015-12-10
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N5/00 | 利用基于知识的模式的计算机系统 |