Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features

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

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