qiandaoxc / Encrypted-Malicious-Traffic-Detection-SystemLinks
本项目旨在设计和实现一个基于深度学习的加密恶意流量检测系统。通过将网络流量数据转换为图像数据，并利用图像分类模型进行检测，该系统能够有效地检测加密恶意流量。在数据集选取上使用了包含加密恶意和正常流量的数据集，以更好地反映实际网络环境中的特征和行为模式。在数据预处理方面，通过比较实验结果，选择了最佳的数据预处理方式进行流量特征提取。在模型选择方面，通过实验对比了几种常用的图像分类模型，并最终选择了GoogLeNet模型进行改进。通过引入注意力机制和深度可分离卷积等方法，提出了一种深度注意力Inception GoogLeNet（DA-Inception GoogLeNet）模型。实验结果表明，该模型在召回率和准确率上均有显著提高，对于特定类型的加密恶意流量的检测准确率提高了4.4%。
☆14Updated last year
Alternatives and similar repositories for Encrypted-Malicious-Traffic-Detection-System
Users that are interested in Encrypted-Malicious-Traffic-Detection-System are comparing it to the libraries listed below
Sorting:
- 网络流量分类对比方法汇总☆203Updated 7 months ago
- [WWW'23] TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification☆117Updated last year
- ☆85Updated last year
- Encrypted Network Traffic Classification using Deep Learning☆61Updated last year
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆120Updated 3 years ago
- Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”☆112Updated 5 years ago
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆60Updated 2 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆51Updated last year
- Code for the AAAI'23 paper "Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Represen…☆135Updated last year
- Network System Intrusion Detection using Graph Neural Networks☆20Updated 2 years ago
- Materials about Encrypted Traffic Analysis☆305Updated this week
- ☆85Updated 11 months ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- Toolkit for processing PCAP file and transform into image of MNIST dataset☆254Updated 2 years ago
- Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning☆244Updated 2 years ago
- 使用机器学习的恶意加密流量识别系统☆49Updated 2 years ago
- using deep learning to classify the encrypted network traffic☆169Updated 5 years ago
- Extract network flow features from PCAP files for machine learning and network analysis☆91Updated last month
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆32Updated 3 years ago
- code repository for the the paper "Encrypted Network Traffic Classification with Higher Order Graph Neural Network"☆38Updated last year
- The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference …☆581Updated 2 months ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- Traffic dataset USTC-TFC2016☆153Updated 6 years ago
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆22Updated 5 years ago
- T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in I…☆98Updated 3 years ago
- It is a network traffic classifier based on deep learning.☆49Updated last year
- The repository of FastTraffic, A lightweight method for encrypted traffic fast classification.☆25Updated last year
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆93Updated 2 years ago
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆60Updated last year
- Efficient Network Traffic Classification via Pre-training Unidirectional Mamba☆153Updated 9 months ago