User profiling via application usage pattern on digital devices for digital forensics

作者：

Highlights：

• New features to identify application usage pattern that distinguishes users.

• Application to heterogeneous devices and services.

• Profiling methods for clustering and anomaly detection.

• Evaluating the performance of the proposed method with both virtual data and real case.

摘要

•New features to identify application usage pattern that distinguishes users.•Application to heterogeneous devices and services.•Profiling methods for clustering and anomaly detection.•Evaluating the performance of the proposed method with both virtual data and real case.

论文关键词：User profiling,Digital forensics,Application usage,User similarity,Anomaly detection

论文评审过程：Received 12 August 2020, Revised 7 November 2020, Accepted 8 December 2020, Available online 11 December 2020, Version of Record 13 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114488