共 50 条
- [21] Accurate Encrypted Malicious Traffic Identification via Traffic Interaction Pattern Using Graph Convolutional Network APPLIED SCIENCES-BASEL, 2023, 13 (03):
- [22] A Malicious Domains Detection Method Based on File Sandbox Traffic IEEE NETWORK, 2023, 37 (06): : 182 - 188
- [23] Traffic identification method based on multiple probabilistic neural network model Neural Computing and Applications, 2019, 31 : 473 - 487
- [24] FLOWGAN:Unbalanced network encrypted traffic identification method based on GAN 2019 IEEE INTL CONF ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, BIG DATA & CLOUD COMPUTING, SUSTAINABLE COMPUTING & COMMUNICATIONS, SOCIAL COMPUTING & NETWORKING (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2019), 2019, : 975 - 983
- [25] Traffic identification method based on multiple probabilistic neural network model NEURAL COMPUTING & APPLICATIONS, 2019, 31 (02): : 473 - 487
- [26] Adaptive Clustering-based Malicious Traffic Classification at the Network Edge IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2021), 2021,
- [27] A Hybrid Mitigation Technique for Malicious Network Traffic based on Active Response INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2015, 9 (04): : 63 - 80
- [28] A NOVEL TRANSFER LEARNING BASED ON ALBERT FOR MALICIOUS NETWORK TRAFFIC CLASSIFICATION INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2020, 16 (06): : 2103 - 2119
- [29] Detecting IoT Malicious Traffic based on Autoencoder and Convolutional Neural Network 2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2019,