Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features

Abstract Insider threats pose a critical risk to organisations, impacting their data, processes, resources, and overall security. Such significant risks arise from individuals with authorised access and familiarity with internal systems, emphasising the potential for insider threats to compromise th...

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Bibliographic Details

Published in:	Data Science and Engineering
Main Authors:	Phavithra Manoharan, Wei Hong, Jiao Yin, Hua Wang, Yanchun Zhang, Wenjie Ye
Format:	Article
Language:	English
Published:	SpringerOpen 2024-11-01
Subjects:	Insider threat prediction BiLSTM Sequential features Manual features
Online Access:	https://doi.org/10.1007/s41019-024-00260-z