PDF Malware Detection: Toward Machine Learning Modeling With Explainability Analysis

PDF Malware Detection: Toward Machine Learning Modeling With Explainability Analysis

The Portable Document Format (PDF) is one of the most widely used file types, thus fraudsters insert harmful code into victims’ PDF documents to compromise their equipment. Conventional solutions and identification techniques are often insufficient and may only partially prevent PDF malwa...

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Bibliographic Details
Main Authors:	G. M. Sakhawat Hossain, Kaushik Deb, Helge Janicke, Iqbal H. Sarker
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Access
Subjects:	Cybersecurity PDF malware data analytics machine learning decision rule explainable AI
Online Access:	https://ieeexplore.ieee.org/document/10412055/

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