Malicious Powershell Detection Using Graph Convolution Network
نویسندگان
چکیده
The internet’s rapid growth has resulted in an increase the number of malicious files. Recently, powershell scripts and Windows portable executable (PE) files have been used behaviors. To solve these problems, artificial intelligence (AI) based malware detection methods widely studied. Among AI techniques, graph convolution network (GCN) was recently introduced. Here, we propose a method using GCN. use GCN, needed adjacency matrix. Therefore, proposed matrix generation Jaccard similarity. In addition, show that rate is increased by approximately 8.2%
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11146429