Invention Grant
- Patent Title: Unknown malicious program behavior detection using a graph neural network
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Application No.: US16653259Application Date: 2019-10-15
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Publication No.: US11463472B2Publication Date: 2022-10-04
- Inventor: Zhengzhang Chen , Ding Li , Zhichun Li , Shen Wang
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Joseph Kolodka
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L9/40 ; G06K9/62 ; G06F16/901 ; G06N3/04

Abstract:
A method for detecting malicious program behavior includes performing program verification based on system activity data, analyzing unverified program data identified from the program verification to detect abnormal events, including analyzing host-level events to detect abnormal host-level events by learning a program representation as a graph embedding through an attentional architecture based on an invariant graph between different system entities, generating detection results based on the analysis, and performing at least one corrective action based on the detection results.
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