Invention Grant
US09578049B2 Methods and systems for using causal analysis for boosted decision stumps to identify and respond to non-benign behaviors
有权
使用因果分析的方法和系统来提高决策树枝以识别和应对非良性行为
- Patent Title: Methods and systems for using causal analysis for boosted decision stumps to identify and respond to non-benign behaviors
- Patent Title (中): 使用因果分析的方法和系统来提高决策树枝以识别和应对非良性行为
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Application No.: US14706099Application Date: 2015-05-07
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Publication No.: US09578049B2Publication Date: 2017-02-21
- Inventor: Vinay Sridhara , Yin Chen , Rajarshi Gupta
- 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, PLLC
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06F21/56

Abstract:
A computing device processor may be configured with processor-executable instructions to implement methods of detecting and responding non-benign behaviors of the computing device. The processor may be configured to monitor device behaviors to collect behavior information, generate a behavior vector information structure based on the collected behavior information, apply the behavior vector information structure to a classifier model to generate analysis results, use the analysis results to classify a behavior of the device, use the analysis results to determine the features evaluated by the classifier model that contributed most to the classification of the behavior, and select the top “n” (e.g., 3) features that contributed most to the classification of the behavior. The computing device may display the selected features on an electronic display of the computing device.
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