Windows malware detection based on static analysis with multiple features.

Yousuf, Muhammad Irfan; Anwer, Izza; Riasat, Ayesha; Zia, Khawaja Tahir; Kim, Suhyun

Yousuf, Muhammad Irfan; Anwer, Izza; Riasat, Ayesha; Zia, Khawaja Tahir; Kim, Suhyun.

Afiliación

Yousuf MI; Department of Computer Science, University of Engineering and Technology Lahore, Lahore, Pakistan.
Anwer I; Department of Transportation Engineering and Management, University of Engineering and Technology Lahore, Lahore, Pakistan.
Riasat A; Department of Basic Sciences and Humanities, University of Engineering and Technology Lahore, Lahore, Pakistan.
Zia KT; Department of Computer Science, University of Engineering and Technology Lahore, Lahore, Pakistan.
Kim S; Centre for Artificial Intelligence, Korea Institute of Science and Technology, Seoul, Republic of Korea.

PeerJ Comput Sci ; 9: e1319, 2023.

Article en En | MEDLINE | ID: mdl-37346681

Palabras clave

Machine learning; Multiple features; Static malware analysis; Windows PE

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: PeerJ Comput Sci Año: 2023 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Estados Unidos

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