Visualization-based comprehensive feature representation with improved EfficientNet for malicious file and variant recognition

Author:

Yao LiangweiORCID,Liu BinORCID,Xin Yang

Funder

National Major Science and Technology Projects of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference75 articles.

1. Daily malicious files soar 3% in 2023, kaspersky finds,2023

2. A survey of iot malware and detection methods based on static features;Ngo;ICT Express,2020

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4. Elf-miner: Using structural knowledge and data mining methods to detect new (linux) malicious executables;Shahzad;Knowl Inf Syst,2012

5. Pdf malware detection based on optimizable decision trees;Al-Haija;Electronics,2022

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