Artificial intelligence

Abstract: A malicious software is generally an executable program which usually settles itself in the system, replicates by copying itself, and has a malicious effect. Modern antivirus systems detect malware by knowing its pattern and detect a new virus quite difficult. There are a lot of heuristic techniques are used for detecting an unknown malware which are usually consume a lot of system memory and CPU resources. This load can be overcome by training a machine learning model which collects features from Portable Executable (PE) file which are used for identifying an unknown virus patterns. A technique to collect these features from PE file is proposed in this paper.

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