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%。
☆10Updated 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:
- 使用机器学习的恶意加密流量识别系统☆47Updated last year
- 网络流量分类对比方法汇总☆178Updated 2 weeks ago
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆56Updated 4 months ago
- ☆55Updated 5 months ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- UCAS春季学期课程 网络空间安全态势感知 加密流量分类中间结果数据集☆21Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆109Updated 2 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆40Updated last year
- Encrypted traffic classification use CNN☆33Updated 4 years ago
- 基于神经网络的流量异常检测☆137Updated 4 years ago
- [WWW'23] TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification☆85Updated 4 months ago
- ☆54Updated 4 months ago
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆25Updated 4 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆26Updated 3 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago
- 多进程读取pcap,基于五元组分流并提取流量特征。结果输出为csv文件,用于机器学习中对加密流量进行分类☆91Updated 2 years ago
- 基于机器学习的恶意加密流量监测平台☆132Updated 4 years ago
- ⼀个有潜⼒的⽹络⼊侵检测算法,引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中,在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆10Updated last year
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Wang Wei's End-to-end encrypted traffic classification with one-dimensional convolution neural networks (scripts and article))☆31Updated 4 years ago
- A Deep Learning approach toward creating a NIDS using python☆24Updated last year
- Materials about Encrypted Traffic Analysis☆168Updated this week
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆47Updated 2 years ago
- CNN网络入侵检测☆57Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆16Updated last year
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆19Updated 4 years ago