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A Deep Learning Fusion Model for Insider Threat Detection in High Risk Infrastructure

Insider threats are a widespread and severe issue of critical infrastructure and cyber-physical systems (CPSs), in which traditional security measures are frequently not sufficient. Despite these machine learning (ML) methods being utilized in detecting insider threats, most of the data mining techn...

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מידע ביבליוגרפי
Principais autores: Sardar Muhammad Ali, Hani Alshahrani, Abdul Razzaque, Mana Saleh Al Reshan, Muhammad Yousaf, Ali Alqazzaz, Qasim Ali Arain, Asadullah Shaikh
פורמט: Artigo
שפה:Inglês
יצא לאור: Wiley 2026-01-01
סדרה:IET Computers & Digital Techniques
גישה מקוונת:http://dx.doi.org/10.1049/cdt2/6332765
תגים: הוספת תג
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