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ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2019
License: CC BY
Data sources: ZENODO
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ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
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Detection of malicious PDF files using a two-stage machine learning algorithm

descriptionPublicationkeyboard_double_arrow_right Article 28 Sep 2019Publisher:Zenodo
Authors: He, Kang;

doi: 10.5281/zenodo.3464032 , 10.5281/zenodo.3464031

Detection of malicious PDF files using a two-stage machine learning algorithm

Abstract

MALWARE_PDF_PRE_04-2011.zip is a dataset that contains malicious PDF samples obtained from VirusTotal by April 2011. 2017-12-05-PDF.7z is a dataset that contains malicious PDF samples obtained from VirusTotal by May 2017. CLEAN_PDF_9000_files.zip is a dataset that contains 9000 benign PDF files obtained from various open sources, and they are all labeled benign by antivirus systems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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