Detecting obfuscated malware using reduced opcode set and optimised runtime trace

Author:

O’kane Philip,Sezer Sakir,McLaughlin Kieran

Publisher

Springer Science and Business Media LLC

Cited by 25 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. Image-based malware detection based on convolution neural network with autoencoder in Industrial Internet of Things using Software Defined Networking Honeypot;Engineering Applications of Artificial Intelligence;2024-07

2. A survey on run-time packers and mitigation techniques;International Journal of Information Security;2023-11-01

3. A hybrid model for classifying malware based on ResNet and Transformer;Proceedings of the 2023 International Conference on Communication Network and Machine Learning;2023-10-27

4. BHMDC: A byte and hex n-gram based malware detection and classification method;Computers & Security;2023-05

5. A Graph-Based Model for Discovering Host-Based Hook Attacks;Smart Technologies in Data Science and Communication;2023

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