indrayudhroy / Distributed-Network-Intrusion-Detection-System-with-Machine-LearningLinks
A research & development project to create and deploy a Network-based Intrusion Detection System (IDS) to detect intruders on a distributed system. That is, it detects and classify threatening or anomalous network traffic as opposed to safe traffic and usage. The project runs on a real-time, distributed cluster on Apache Storm which processes in…
☆11Updated 6 years ago
Alternatives and similar repositories for Distributed-Network-Intrusion-Detection-System-with-Machine-Learning
Users that are interested in Distributed-Network-Intrusion-Detection-System-with-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Deep learning based Intrusion Detection System☆35Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆29Updated 6 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆35Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆114Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆88Updated 5 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
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆177Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆36Updated 5 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆187Updated 2 years 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.☆26Updated 4 years ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆16Updated 2 years ago
- IDS abnormal traffic detection tensorflow☆41Updated 6 years ago
- 使用卷积神经网络进行网络入侵检测,正确率可达99.5%☆190Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Updated last year
- DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.☆12Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- ☆88Updated last year
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆73Updated 3 months ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆24Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 years ago
- 使用贝叶斯、神经网络、KNN进行入侵检测(KDD-CUP99)☆83Updated 5 years ago
- Intrusion detection system using CNN and RNN☆24Updated 6 years ago
- IoT intrusion Detection Model based on neural network and random forests☆47Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- implement IDS using deep learning☆12Updated 6 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆11Updated 2 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆28Updated 3 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 5 years ago