Detecting malware evolution using support vector machines

作者：

Highlights：

• Automatically detect changes in malware families.

• Novel application of support vector machine (SVM).

• Novel use of SVM feature analysis.

摘要

•Automatically detect changes in malware families.•Novel application of support vector machine (SVM).•Novel use of SVM feature analysis.

论文关键词：Malware,Support vector machine,Feature analysis, malware evolution

论文评审过程：Received 30 June 2019, Revised 20 August 2019, Accepted 11 October 2019, Available online 16 October 2019, Version of Record 5 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113022