This is the code for our paper "Online Network Traffic Classification Based on External Attention and Convolution by IP Packet Header" - CNZZQ1030/ECM-for-Network-Traffic-Classification
Deep Learning models for network traffic classification master 1Branch 0Tags Code README MPL-2.0 license For more information please read our papers. I'm a Ph.D. candidate atUSTC, and I’m interested in network traffic analysis. If you have an interesting Internship or job opportunity for me...
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Classification model fitting The models used in the experiment were OC-SVM and iForest. We chose these models because, as seen in "Related work" section, support vector machine-based models and decision tree-based models have demonstrated promising results in malicious traffic detection using both ...
(c4.5), and etc. most of these traditional methods have low accuracy and low classification efficiency. anshu priya et al. [ 25 ] proposed the use of k-means clustering algorithm to analyze real-time network data traffic situations in universities. however, the clustering algorithm has poor ...
Lastly, outgoing traffic refers to situations, where the source address is in the internal network and the destination address is not. This classification does not consider packets created inside the network with a (possible) external source address. Firstly, the specialization for a firewall names...
We open source our sample datasets, pipeline, and results inhttps://github.com/noise-lab/NetDiffusion_Generator. 论文名称 NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation[J]. 作者Jiang X, Liu S, Gember-Jacobson A, et al. ...
Network traffic classification library that requires minimal application payload - vdbrcxby/libprotoident
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification) - PrivPkt/PrivPkt