Invention Grant
- Patent Title: Behavior-based malicious code detecting apparatus and method using multiple feature vectors
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Application No.: US15169259Application Date: 2016-05-31
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Publication No.: US10089460B2Publication Date: 2018-10-02
- Inventor: Dae Sung Moon , Ik Kyun Kim , Yang Seo Choi
- Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Applicant Address: KR Daejeon
- Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee Address: KR Daejeon
- Priority: KR10-2016-0000353 20160104
- Main IPC: G06F21/55
- IPC: G06F21/55 ; G06N99/00

Abstract:
A behavior-based malicious code detecting apparatus and method using multiple feature vectors is disclosed. A malicious code learning method may include collecting characteristic factor information when a training target process comprising a malicious code is executed, generating a feature vector for malicious code verification based on the collected characteristic factor information, learning the generated feature vector through a plurality of machine learning algorithms to generate a model of representing the malicious code and a model of representing a normal file, and storing the model of representing the malicious code and the model of representing the normal file generated through the learning.
Public/Granted literature
- US20170193225A1 BEHAVIOR-BASED MALICIOUS CODE DETECTING APPARATUS AND METHOD USING MULTIPLE FEATURE VECTORS Public/Granted day:2017-07-06
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