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
☆14Updated 11 months ago
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:
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 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
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- ☆41Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆109Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆70Updated 4 years ago
- 在当前的数字时代,随着网络攻击日益复杂和频繁,网络安全成为了保障信息安全的重中之重。尤其是在网络入侵检测领域,传统的基于规则的检测方法已经难以应对日新月异的攻击技术。因此,利用深度学习技术进行网络入侵检测成为了研究的新趋势。本项目旨在开发一种基于卷积神经网络(CNN)和Tr…☆27Updated last year
- CICIDS2017 dataset☆69Updated 3 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago
- CNN网络入侵检测☆57Updated last year
- 机器学习作业,机器学习和深度学习方法实现入侵检测☆37Updated 3 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- A Deep Learning approach toward creating a NIDS using python☆24Updated last year
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆47Updated 4 years ago
- Journal Article: Telematics and Informatics Reports☆12Updated last year
- Deep learning models for network intrusion detection☆36Updated 2 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆13Updated 3 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆16Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆26Updated 3 years ago
- 使用贝叶斯、神经网络、KNN进行入侵检测(KDD-CUP99)☆85Updated 4 years ago
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆11Updated 9 months ago