Malicious PDF Detection Model against Adversarial Attack Built from Benign PDF Containing JavaScript

Intelligent attacks using document-based malware that exploit vulnerabilities in document viewing software programs or document file structure are increasing rapidly. There are many cases of using PDF (portable document format) in proportion to its usage. We provide in-depth analysis on PDF structur...

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Vydané v:	Applied sciences Ročník 9; číslo 22; s. 4764
Hlavní autori:	Kang, Ah, Jeong, Young-Seob, Kim, Se, Woo, Jiyoung
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.11.2019
Predmet:	Accuracy adversarial attack Algorithms Codes detection JavaScript machine-learning malicious pdf Malware Metadata Methods Semantics
ISSN:	2076-3417, 2076-3417
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