Attention‐based convolutional neural network deep learning approach for robust malware classification
Author:
Affiliation:
1. Center for Artificial Intelligence Prince Mohammad Bin Fahd University Khobar Saudi Arabia
2. College of Engineering, IT and Environment Charles Darwin University Casuarina Northern Territory Australia
Publisher
Wiley
Subject
Artificial Intelligence,Computational Mathematics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12551
Reference40 articles.
1. A hybrid deep learning image‐based analysis for effective malware detection;Venkatraman S;J Inf Secur Appl,2019
2. Robust Intelligent Malware Detection Using Deep Learning
3. Profiling and classifying the behavior of malicious codes
4. NatarajL KarthikeyanS JacobG ManjunathBS.Malware images: visualization and automatic classification. Proceedings of the 8th International Symposium on Visualization for Cyber Security;2011:1‐7.
5. A survey on machine learning-based malware detection in executable files
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