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