共 50 条
- [1] TrafficAV: An Effective and Explainable Detection of Mobile Malware Behavior Using Network Traffic [J]. 2016 IEEE/ACM 24TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS), 2016,
- [2] Mobile Malware Detection Using Deep Neural Network [J]. 2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
- [3] Evaluating Convolutional Neural Network for Effective Mobile Malware Detection [J]. KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS, 2017, 112 : 2372 - 2381
- [4] Malware Detection with Deep Neural Network Using Process Behavior [J]. PROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC), VOL 2, 2016, : 577 - 582
- [5] A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic [J]. ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2018, PT IV, 2018, 11337 : 109 - 120
- [6] Deep Neural Network Based on Android Mobile Malware Detection System Using Opcode Sequences [J]. 2018 IEEE 18TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT), 2018, : 1141 - 1147
- [7] Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network [J]. Journal of Ambient Intelligence and Humanized Computing, 2019, 10 : 3035 - 3043
- [9] Research on Malware Variant Detection Method Based on Deep Neural Network [J]. 2021 IEEE 5TH INTERNATIONAL CONFERENCE ON CRYPTOGRAPHY, SECURITY AND PRIVACY (ICCSP), 2021, : 144 - 147
- [10] Obfuscated Mobile Malware Detection by Means of Dynamic Analysis and Explainable Deep Learning [J]. 18TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY & SECURITY, ARES 2023, 2023,