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

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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Bibliographic Details
Main Authors: Ah Reum Kang, Young-Seob Jeong, Se Lyeong Kim, Jiyoung Woo
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Applied Sciences
Subjects:
malicious pdf
malware
detection
machine-learning
adversarial attack
Online Access:https://www.mdpi.com/2076-3417/9/22/4764

Internet

https://www.mdpi.com/2076-3417/9/22/4764

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