Employee profiling via aspect-based sentiment and network for insider threats detection

作者：

Highlights：

• Customised sentiment analysis can monitor opinion/emotions changes in employees.

• Modified skipgram model can comprehend implicit social network information.

• Proposed employee profiles can be ranked by anomaly to identify potential insiders.

摘要

•Customised sentiment analysis can monitor opinion/emotions changes in employees.•Modified skipgram model can comprehend implicit social network information.•Proposed employee profiles can be ranked by anomaly to identify potential insiders.

论文关键词：Insider threat,Aspect-based sentiment analysis,Network embedding,Anomaly detection

论文评审过程：Received 31 December 2018, Revised 14 May 2019, Accepted 27 May 2019, Available online 28 May 2019, Version of Record 20 June 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.043