【GNN+加密流量C】An Encrypted Traffic Classification Method Combining GCN and Autoencoder - 代码天地

【GNN+加密流量C】An Encrypted Traffic Classification Method Combining GCN and Autoencoder

企业开发 2023-10-04 18:10:02 阅读次数: 0

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转载自blog.csdn.net/Dajian1040556534/article/details/132822679

【GNN+加密流量C】An Encrypted Traffic Classification Method Combining GCN and Autoencoder

【GNN+加密流量C】MEMG: Mobile Encrypted Traffic Classification With Markov Chains and Graph Neural Network

【GNN+加密流量C】VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on GAT

【研究型论文】EC-GCN: A encrypted traffic classification framework based on multi-scale GNN

【GNN+加密流量C】Subspace clustering via graph auto-encoder network for unknown encrypted traffic...

【GNN+加密流量】Graph based encrypted malicious traffic detection with hybrid analysis of multi-view...

【seq2seq+加密流量A】FS-Net: A Flow Sequence Network For Encrypted Traffic Classification

【研究型论文】MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep GNN

【GNN+加密流量】TFE-GNN: A Temporal Fusion Encoder Using GNN for Fine-grained Encrypted Trafic Classificat

【研究型论文】Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using GNN

GNN/GCN

GNN与GCN相关论文

【GCN】SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS

【[GCN]semi-supervised classification with graph convolutional networks】

【论文阅读#3】FLOWPRINT : Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic

【研究型论文】Encrypted Malware Traffic Detection via Graph-based Network Analysis

【研究型论文】Detecting Unknown Encrypted Malicious Traffic in RealTime via Flow Interaction Graph Analysis

论文总结（3）：Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey

autoencoder

GCN

SQL Server 2016 Always Encrypted（始终加密）

【研究型论文】Flow Sequence-Based Anonymity Network Traffic Identification with Residual GCN

Traffic

【论文笔记】Combining Reinforcement Learning and Rule-based Method to Manipulate Objects in Clutter

一种新型的基于服务注册的负载均衡方法——流量代理（traffic proxy） Migrating from Legacy Traditional Load Balancing Method

基于pytorch geometric 的GNN、GCN 的节点分类

GCN经典论文笔记：Semi-Supervised Classification with Graph Convolutional Networks

A Blockchain-Driven IIoT Traffic Classification Service for Edge Computing 论文学习

关于GNN与GCN建模流程实例，包括GNN与GCN的原理，完整的代码实现过程

精读加密媒体扩展（Encrypted Media Extensions，EME）

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