Classification of polymorphic and metamorphic malware samples based on their behavior

Author:

Tsyganok Ksenia,Tumoyan Evgeny,Babenko Liudmila,Anikeev Maxim

Publisher

ACM Press

Cited by 5 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. Comparative Study of Prognosis of Malware with PE Headers Based Machine Leaning Techniques;2023 International Conference on Smart Computing and Application (ICSCA);2023-02-05

2. An empirical study to estimate the stability of random forest classifier on the hybrid features recommended by filter based feature selection technique;International Journal of Machine Learning and Cybernetics;2019-07-02

3. Empirical Study on Features Recommended by LSVC in Classifying Unknown Windows Malware;Advances in Intelligent Systems and Computing;2018-10-31

4. Classification of Malware Families Based on Runtime Behaviour;Cyberspace Safety and Security;2018

5. Automatic Malware Detection Using Deep Learning Based on Static Analysis;Communications in Computer and Information Science;2017

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