Malicious Code Family Classification Method Based on Vision Transformer
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,Beijing,China,100876
2. State Grid Corporation of China,Beijing,China,100031
3. State Grid Information & Telecommunication Branch,Beijing,China,100761
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10006415/10006419/10006552.pdf?arnumber=10006552
Reference10 articles.
1. Malicious code detection based on CNNs and multi-objective algorithm
2. Detection of Malicious Code Variants Based on Deep Learning
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5. Malware images
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1. PhD Forum: MalFormer001- Multimodal Transformer Fused Attention based Malware Detector;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29
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