Processing 2D barcode data with metaheuristic based CNN models and detection of malicious PDF files

Author:

Toğaçar Mesut,Ergen Burhan

Publisher

Elsevier BV

Reference44 articles.

1. Improving machine learning models for malware detection using embedded feature selection method;Chemmakha;IFAC-Pap.,2022

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3. N. Fleury, T. Dubrunquez, I. Alouani, PDF-Malware: An Overview on Threats, Detection and Evasion Attacks, (2021). 〈http://arxiv.org/abs/2107.12873〉.

4. Explainable ensemble learning based detection of evasive malicious PDF documents;Yerima;Electronics,2023

5. J. Lindenhofer, R. Offenthaler, M. Pirker, A Curious Exploration of Malicious PDF Documents, in: Proc. 6th Int. Conf. Inf. Syst. Secur. Priv., SCITEPRESS - Science and Technology Publications, 2020: pp. 577–584. https://doi.org/10.5220/0008992305770584.

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