Cybersecurity intelligence through textual data analysis: a framework using machine learning and terrorism datasets

This study examines multi-lexical data sources, utilizing an extracted dataset from an open-source corpus and the Global Terrorism Datasets (GTDs), to predict lexical patterns that are directly linked to terrorism. This is essential as specific patterns within a textual context can facilitate the id...

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Bibliographic Details

Main Authors:	Atoum, Mohammed Salem, Alarood, Ala Abdulsalam, Alsolami, Eesa, Abubakar, Adamu, Al Hwaitat, Ahmad K., Izzat, Alsmadi
Format:	Article
Language:	en en en
Published:	MDPI 2025
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/123683/1/123683_Cybersecurity%20intelligence%20through%20textual%20data.pdf http://irep.iium.edu.my/123683/2/123683_Cybersecurity%20intelligence%20through%20textual%20data_Scopus.pdf http://irep.iium.edu.my/123683/3/123683_Cybersecurity%20intelligence%20through%20textual%20data_WOS.pdf http://irep.iium.edu.my/123683/ https://www.mdpi.com/1999-5903/17/4/182
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