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。Attention-based federated incremental learning for traffic classification in the Internet of Things
Meng-yuan Zhu et al.
COMPUTER COMMUNICATIONS (2022)
Concept learning using one-class classifiers for implicit drift detection in evolving data streams
Omer Gozuacik et al.
ARTIFICIAL INTELLIGENCE REVIEW (2021)
Packet-level prediction of mobile-app traffic using multitask Deep Learning
Antonio Montieri et al.
COMPUTER NETWORKS (2021)
Unsupervised concept drift detection based on multi-scale slide windows
Yifei Yuan et al.
AD HOC NETWORKS (2021)
Concept Drift Detection in Streaming Classification of Mobile Application Traffic
O. Sheluhin et al.
AUTOMATIC CONTROL AND COMPUTER SCIENCES (2021)
An Adaptive Behavioral-Based Incremental Batch Learning Malware Variants Detection Model Using Concept Drift Detection and Sequential Deep Learning
Abdulbasit A. Darem et al.
IEEE ACCESS (2021)
A deep learning approach for collaborative prediction of Web service QoS
Mohammed Ismail Smahi et al.
SERVICE ORIENTED COMPUTING AND APPLICATIONS (2021)
Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web)
Antonio Montieri et al.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (2020)
Traffic classification for connectionless services with incremental learning
V. Punitha et al.
COMPUTER COMMUNICATIONS (2020)
An efficient instance selection algorithm to reconstruct training set for support vector machine
Chuan Liu et al.
KNOWLEDGE-BASED SYSTEMS (2017)
Robust application identification methods for P2P and VoIP traffic classification in backbone networks
Tao Qin et al.
KNOWLEDGE-BASED SYSTEMS (2015)
A Survey on Concept Drift Adaptation
Joao Gama et al.
ACM COMPUTING SURVEYS (2014)
A Survey of Payload-Based Traffic Classification Approaches
Michael Finsterbusch et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2014)
Classifying peer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream
Weicai Zhong et al.
PEER-TO-PEER NETWORKING AND APPLICATIONS (2013)
Issues and Future Directions in Traffic Classification
Alberto Dainotti et al.
IEEE NETWORK (2012)
An improved data stream summary: the count-min sketch and its applications
G Cormode et al.
JOURNAL OF ALGORITHMS-COGNITION INFORMATICS AND LOGIC (2005)