daetz-coder / CIC-DDoS2019-DetectionLinks
数据清洗与合并 Data Cleaning and Merging ; 机器学习模型 Machine Learning Models; 深度学习模型 Deep Learning Models ;PCA, t-SNE分析 PCA, t-SNE Analysis; 数据,结果可视化 Data and Results Visualization
☆17Updated last year
Alternatives and similar repositories for CIC-DDoS2019-Detection
Users that are interested in CIC-DDoS2019-Detection are comparing it to the libraries listed below
Sorting:
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆32Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆90Updated 3 years ago
- ☆48Updated 3 years ago
- ☆97Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- CICIDS2017 dataset☆69Updated 4 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆120Updated 3 years ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆19Updated 2 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆197Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆39Updated 5 years ago
- 《基于卷积神经网络(CNN)的网络流量分类》优秀本科毕设相关文档☆75Updated 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…☆12Updated last year
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆52Updated 5 years ago
- 基于神经网络的流量异常检测☆152Updated 5 years ago
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago
- 使用贝叶斯、神经网络、KNN进行入侵检测(KDD-CUP99)☆81Updated 5 years ago
- Network System Intrusion Detection using Graph Neural Networks☆20Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆66Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆38Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆57Updated 6 years ago
- Extract network flow features from PCAP files for machine learning and network analysis☆91Updated last month
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆15Updated 3 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated 2 years ago
- CNN网络入侵检测☆58Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Updated 2 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago