共 50 条
- [1] Deep Learning Model with Sequential Features for Malware Classification [J]. APPLIED SCIENCES-BASEL, 2022, 12 (19):
- [3] A Novel and Dedicated Machine Learning Model for Malware Classification [J]. PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON SOFTWARE TECHNOLOGIES (ICSOFT), 2021, : 617 - 628
- [4] MCSMGS: Malware Classification Model Based on Deep Learning [J]. 2017 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC), 2017, : 272 - 275
- [6] Ensemble Machine Learning Approach for Android Malware Classification Using Hybrid Features [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2017, 2018, 578 : 191 - 200
- [7] High Performance Classification of Android Malware Using Ensemble Machine Learning [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 72 (01): : 381 - 398
- [8] Performance Analysis of Machine Learning and Pattern Recognition Algorithms for Malware Classification [J]. PROCEEDINGS OF THE 2016 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON) AND OHIO INNOVATION SUMMIT (OIS), 2016, : 338 - 342
- [9] A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic [J]. 2022 27TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2022), 2022,
- [10] Dynamic Malware Classification and API Categorisation of Windows Portable Executable Files Using Machine Learning [J]. APPLIED SCIENCES-BASEL, 2024, 14 (03):