相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web)
Antonio Montieri et al.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (2020)
Deep packet: a novel approach for encrypted traffic classification using deep learning
Mohammad Lotfollahi et al.
SOFT COMPUTING (2020)
Toward effective mobile encrypted traffic classification through deep learning
Giuseppe Aceto et al.
NEUROCOMPUTING (2020)
CETAnalytics: Comprehensive effective traffic information analytics for encrypted traffic classification
Cong Dong et al.
COMPUTER NETWORKS (2020)
Optimizing Feature Selection for Efficient Encrypted Traffic Classification: A Systematic Approach
Meng Shen et al.
IEEE NETWORK (2020)
ID-Based SDN for the Internet of Things
Xiaoliang Wang et al.
IEEE NETWORK (2020)
App trajectory recognition over encrypted internet traffic based on deep neural network
Ding Li et al.
COMPUTER NETWORKS (2020)
Multi-Task Learning at the Mobile Edge: An Effective Way to Combine Traffic Classification and Prediction
Arcangela Rago et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Encrypted traffic classification based on Gaussian mixture models and Hidden Markov Models
Zhongjiang Yao et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2020)
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges
Giuseppe Aceto et al.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2019)
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
Giuseppe Aceto et al.
COMPUTER NETWORKS (2019)
Deep-Full-Range: A Deep Learning Based Network Encrypted Traffic Classification and Intrusion Detection Framework
Yi Zeng et al.
IEEE ACCESS (2019)
Common Knowledge Based and One-Shot Learning Enabled Multi-Task Traffic Classification
Haifeng Sun et al.
IEEE ACCESS (2019)
Friction, snake oil, and weird countries: Cybersecurity systems could deepen global inequality through regional blocking
Anne Jonas et al.
BIG DATA & SOCIETY (2019)
Robust Smartphone App Identification via Encrypted Network Traffic Analysis
Vincent F. Taylor et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2018)
Multi-classification approaches for classifying mobile app traffic
Giuseppe Aceto et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2018)
Automatic Multi-task Learning System for Abnormal Network Traffic Detection
He Huang et al.
INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING (2018)
Toward Human-Understandable, Explainable AI
Hani Hagras
COMPUTER (2018)
Deep Multimodal Learning A survey on recent advances and trends
Dhanesh Ramachandram et al.
IEEE SIGNAL PROCESSING MAGAZINE (2017)
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
Manuel Lopez-Martin et al.
IEEE ACCESS (2017)
Issues and Future Directions in Traffic Classification
Alberto Dainotti et al.
IEEE NETWORK (2012)
分享论文
