Evidential classification and feature selection for cyber-threat hunting

作者：

Highlights：

• Uncertainty-baring Machine Learning technique for cyberthreat classification.

• Evidential classifiers inform decisions without requiring expert domain knowledge.

• Feature uncertainty distils cyberthreat phenotypes.

摘要

•Uncertainty-baring Machine Learning technique for cyberthreat classification.•Evidential classifiers inform decisions without requiring expert domain knowledge.•Feature uncertainty distils cyberthreat phenotypes.

论文关键词：Feature selection,Dempster–Shafer Theory,Evidence theory,Evidential classification,Logistic regression

论文评审过程：Received 2 November 2020, Revised 10 February 2021, Accepted 1 May 2021, Available online 3 May 2021, Version of Record 17 May 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107120