Automated OSINT Techniques for Digital Asset Discovery and Cyber Risk Assessment

Cyber threats are becoming increasingly sophisticated, especially in distributed infrastructures where systems are deeply interconnected. To address this, we developed a framework that automates how organizations discover their digital assets and assess which ones are the most at risk. The approach...

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Autors principals:	Tetiana Babenko, Kateryna Kolesnikova, Olga Abramkina, Yelizaveta Vitulyova
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-10-01
Col·lecció:	Computers
Matèries:	OSINT cyber reconnaissance machine learning digital assets cyber risk assessment GBDT
Accés en línia:	https://www.mdpi.com/2073-431X/14/10/430
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