E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches.

Almomani, Iman; Alkhayer, Aala; El-Shafai, Walid

Almomani, Iman; Alkhayer, Aala; El-Shafai, Walid.

Afiliação

Almomani I; Computer Science Department, King Abdullah II School for Information Technology, The University of Jordan, Amman 11942, Jordan.
Alkhayer A; Security Engineering Laboratory, Computer Science Department, Prince Sultan University, Riyadh 11586, Saudi Arabia.
El-Shafai W; Security Engineering Laboratory, Computer Science Department, Prince Sultan University, Riyadh 11586, Saudi Arabia.

Sensors (Basel) ; 23(9)2023 May 04.

Article em En | MEDLINE | ID: mdl-37177671

Palavras-chave

cybersecurity attacks; deep learning; fine-tuning; machine learning; malware; ransomware; static analysis; transfer learning; vision-based detection system

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article

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