Identifying meaningful clusters in malware data

作者：

Highlights：

• We introduce a novel data preprocessing method.

• Unlike other methods, ours iteratively favours more meaningful features.

• We demonstrate its efficacy on a noisy data set with overlapped clusters.

摘要

•We introduce a novel data preprocessing method.•Unlike other methods, ours iteratively favours more meaningful features.•We demonstrate its efficacy on a noisy data set with overlapped clusters.

论文关键词：Feature rescaling,Drive-by-download malware,Clustering

论文评审过程：Received 28 February 2020, Revised 10 February 2021, Accepted 27 March 2021, Available online 2 April 2021, Version of Record 14 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114971