Fusing feature engineering and deep learning: A case study for malware classification
作者：
Highlights：
• It presents an hybrid system for malware classification.
• It provides a detailed description of hand-crafted and deep features.
• It presents an effective mechanism to fuse hand-crafted and deep features.
• It successfully combines the benefits of feature engineering and deep learning.
• It performs an exhaustive evaluation of the features on the Microsoft benchmark.
摘要
•It presents an hybrid system for malware classification.•It provides a detailed description of hand-crafted and deep features.•It presents an effective mechanism to fuse hand-crafted and deep features.•It successfully combines the benefits of feature engineering and deep learning.•It performs an exhaustive evaluation of the features on the Microsoft benchmark.
论文关键词：Malware classification,Machine learning,Deep learning,Feature extraction,Feature fusion
论文评审过程：Received 21 April 2021, Revised 16 June 2022, Accepted 21 June 2022, Available online 26 June 2022, Version of Record 30 June 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117957
