A Dynamic Analysis Data Preprocessing Technique for Malicious Code Detection with TF-IDF and Sliding Windows

When using dynamic analysis data to detect malware, time-series data such as API call sequences are used to determine malicious activity through deep learning models such as recurrent neural networks (RNN). However, in API call sequences, APIs are called differently when different programs are execu...

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Veröffentlicht in:	Electronics (Basel) 2024-03, Vol.13 (5), p.963
Hauptverfasser:	Kim, Mihui, Kim, Haesoo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Application programming interface Data analysis Deep learning Machine learning Malware Methods Neural networks Performance evaluation Preprocessing Recurrent neural networks Sequences Sliding Spyware
Online-Zugang:	Volltext
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