Visualizable Malware Detection based on Multi-dimension Dynamic Behaviors
Author:
Affiliation:
1. School of Computer Science and Technology, Xidian University,Xi'an,Shaanxi,China,710071
2. Institute of Systems General, Academy of Systems Engineering, Academy of Military Sciences,Beijinz,China,100101
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9985010/9984997/09985124.pdf?arnumber=9985124
Reference18 articles.
1. A Hybrid Malicious Code Detection Method based on Deep Learning
2. Malware family classification model based on MobileNet[J];yaqin;Computer Engineering,2020
3. Efficient Malicious Code Detection Using N-Gram Analysis and SVM
4. Malicious code detection based on CNNs and multi-objective algorithm
5. Effective Malware Detection Based on Behaviour and Data Features
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. SoK: Visualization-based Malware Detection Techniques;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30
2. Image-Based Malware Detection Using α-Cuts and Binary Visualisation;Applied Sciences;2023-04-06
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