Towards a semi-automatic classifier of malware through tweets for early warning threat detection

This paper presents a method for developing a malware ontology structure by detecting malware instances on Twitter. The ontology represents a semi-automatic classifier fed by the data extracted from tweets. In particular, the automatic part of the presented methodology relies on a pattern-based app...

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Bibliographic Details

Published in:	JLIS.it
Main Authors:	Claudia Lanza, Lorenzo Lodi
Format:	Article
Language:	English
Published:	Firenze University Press 2024-05-01
Subjects:	Malware Classification NLP Twitter Text Mining.
Online Access:	https://jlis.fupress.net/index.php/jlis/article/view/591