Malicious PDF detection Based on Machine Learning with Enhanced Feature Set-Reference-Cited by-同舟云学术

Malicious PDF detection Based on Machine Learning with Enhanced Feature Set

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)
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Author:

Yerima Suleiman Y.¹,Bashar Abul²,Latif Ghazanfar²

Affiliation:

1. Cyber Technology Institute De Montfort University,Leicester,United Kingdom

2. Prince Mohammad Bin Fahd University,Department of Computer Engineering,Al-Khobar,Kingdom of Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10008224/10008233/10008374.pdf?arnumber=10008374

Reference28 articles.

1. Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware;maiorca;IEEE Security Privacy magazine Special Issue on Digital Forensics,2017

2. Malicious PDF Documents Detection using Machine Learning Techniques - A Practical Approach with Cloud Computing Applications

3. PDF Malware Detection Based on Optimizable Decision Trees;al-haija;Preprints,2022

4. Improving malicious PDF classifier with feature engineering: A data-driven approach

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