Invention Grant
- Patent Title: Spatial and temporal convolution networks for system calls based process monitoring
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Application No.: US15845199Application Date: 2017-12-18
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Publication No.: US10706148B2Publication Date: 2020-07-07
- Inventor: Michael Dymshits , Benjamin Hillel Myara
- Applicant: PayPal, Inc.
- Applicant Address: US CA San Jose
- Assignee: PayPal, Inc.
- Current Assignee: PayPal, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Haynes and Boone, LLP
- Main IPC: G06F21/56
- IPC: G06F21/56

Abstract:
The systems and methods that detect a malicious process using count vectors are provided. Count vectors store a number and types of system calls that a process executed in a configurable time interval. The count vectors are provided to a temporal convolution network and a spatial convolution network. The temporal convolution network generates a temporal output by passing the count vectors through temporal filters that identify temporal features of the process. The spatial convolution network generates a spatial output by passing the count vectors through spatial filters that identify spatial features of the process. The temporal output and the spatial output are merged into a summary representation of the process. The malware detection system uses the summary representation to determine that the process as a malicious process.
Public/Granted literature
- US20190188379A1 SPATIAL AND TEMPORAL CONVOLUTION NETWORKS FOR SYSTEM CALLS BASED PROCESS MONITORING Public/Granted day:2019-06-20
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