Computer Modeling in Engineering & Sciences2025，Vol.142Issue(2)：P.1667-1695,29.DOI:10.32604/cmes.2024.056850
Oversampling-Enhanced Feature Fusion-Based Hybrid ViT-1DCNN Model for Ransomware Cyber Attack Detection
Muhammad Armghan Latif 1Zohaib Mushtaq 2Saifur Rahman 3Saad Arif 4Salim Nasar Faraj Mursal 3Muhammad Irfan 3Haris Aziz5
作者信息
- 1. Department of Computer and Information System,Cleveland State University,Ohio,44115,USA
- 2. Department of Electrical,Electronics and Computer Systems,College of Engineering and Technology,University of Sargodha,Sargodha,40100,Pakistan
- 3. Electrical Engineering Department,College of Engineering,Najran University,Najran,61441,Saudi Arabia
- 4. Department of Mechanical Engineering,College of Engineering,King Faisal University,Al Ahsa,31982,Saudi Arabia
- 5. Department of Mechanical,Industrial and Energy System Engineering,University of Sargodha,Sargodha,40100,Pakistan
- 折叠
摘要
关键词
Ransomware attacks/cybersecurity/vision transformer/convolutional neural network/feature fusion/encryption/threat detection分类
信息技术与安全科学引用本文复制引用
Muhammad Armghan Latif,Zohaib Mushtaq,Saifur Rahman,Saad Arif,Salim Nasar Faraj Mursal,Muhammad Irfan,Haris Aziz..Oversampling-Enhanced Feature Fusion-Based Hybrid ViT-1DCNN Model for Ransomware Cyber Attack Detection[J].Computer Modeling in Engineering & Sciences,2025,142(2):P.1667-1695,29.
