Identification of malware families using stacking of textural features and machine learning

作者：

Highlights：

• A new architecture of malware detection and classification using machine learning.

• Novel use of hybrid textural features and bag of visual words.

• A single image descriptor has difficulty capturing complex patterns of malware.

摘要

•A new architecture of malware detection and classification using machine learning.•Novel use of hybrid textural features and bag of visual words.•A single image descriptor has difficulty capturing complex patterns of malware.

论文关键词：Malware detection,Bag of visual words,Machine learning,Cyber Security,Image descriptors

论文评审过程：Received 28 January 2022, Revised 3 June 2022, Accepted 3 July 2022, Available online 9 July 2022, Version of Record 16 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118073