Applying machine learning principles for the analysis and detection of malicious codes in computer software

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29 tháng 11 năm 2016

Applying machine learning principles for the analysis and detection

of malicious codes in computer software

Le Manh

In the internet environment computer network security is essential for network administrators. The detection and elimination of malware in computer software in the network is the daily work of network administrators. This paper proposes methods using machine learning principles (in specialized artificial intelligence) to perform malware detection in computer software.

Keywords: Malicious software, malware, behavioral software,virtual machine, malware database, SandBox, network security, machine learning.

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