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...

Celý popis

Podrobná bibliografia

Vydané v:	Applied sciences Ročník 11; číslo 24; s. 12134
Hlavní autori:	Lu, Xiaofeng, Wang, Fei, Jiang, Cheng, Lio, Pietro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2021
Predmet:	Active learning Anti-virus software Design feature generalization JavaScript Keywords machine learning malicious document detection Methods static detection
ISSN:	2076-3417, 2076-3417
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!