A Universal Malicious Documents Static Detection Framework Based on Feature Generalization

In this study, Portable Document Format (PDF), Word, Excel, Rich Test format (RTF) and image documents are taken as the research objects to study a static and fast method by which to detect malicious documents. Malicious PDF and Word document features are abstracted and extended, which can be used t...

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Bibliographic Details

Published in:	Applied sciences Vol. 11; no. 24; p. 12134
Main Authors:	Lu, Xiaofeng, Wang, Fei, Jiang, Cheng, Lio, Pietro
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2021
Subjects:	Active learning Anti-virus software Design feature generalization JavaScript Keywords machine learning malicious document detection Methods static detection
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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