Malware detection based on visualization of recombined API instruction sequence
This paper introduces a malware detection method based on the reorganisation of API instruction sequence and image representation in an effort to address the challenges posed by current methods of malware detection in terms of feature extraction and detection accuracy. In the first step, APIs of the...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2022.2139353 |