A Universal Malicious Documents Static Detection Framework Based on Feature Generalization

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
Main Authors: Xiaofeng Lu, Fei Wang, Cheng Jiang, Pietro Lio
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
malicious document detection
static detection
feature generalization
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/24/12134

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