共 50 条
- [1] Deep visualization classification method for malicious code based on Ngram-TFIDF [J]. Tongxin Xuebao/Journal on Communications, 2024, 45 (06): : 160 - 175
- [2] Malicious Code Family Classification Method Based on Vision Transformer [J]. 2022 IEEE 10TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND NETWORKS (ICICN 2022), 2022, : 704 - 709
- [3] Lightweight Malicious Code Classification Method Based on Improved SqueezeNet [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 78 (01): : 551 - 567
- [4] A Hybrid Malicious Code Detection Method based on Deep Learning [J]. INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2015, 9 (05): : 205 - 215
- [5] Malicious Code Classification Method Based on Deep Residual Network and Hybrid Attention Mechanism for Edge Security [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
- [6] Deep Learning and Regularization Algorithms for Malicious Code Classification [J]. IEEE ACCESS, 2021, 9 : 91512 - 91523
- [7] Decompiled APK based malicious code classification [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 110 : 135 - 147
- [8] Android malicious code Classification using Deep Belief Network [J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2018, 12 (01): : 454 - 475
- [9] Android malicious behavior recognition and classification method based on random forest algorithm [J]. Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2019, 53 (10): : 2013 - 2023