jeroenvansaane / Deep-Learning-Based-Intrusion-Detection-NSL-KDD
Deep Learning based Intrusion Detection on NSL-KDD Dataset
☆11Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Deep-Learning-Based-Intrusion-Detection-NSL-KDD
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆81Updated 10 months ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆42Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆42Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆30Updated 4 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆27Updated 4 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 5 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 3 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆39Updated 6 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆56Updated 4 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆32Updated 6 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- CICIDS2017 dataset☆55Updated 2 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆25Updated 4 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.☆23Updated 3 years ago
- Intrusion detection system using CNN and RNN☆22Updated 5 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆12Updated 3 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- A Deep Learning approach toward creating a NIDS using python☆23Updated last year
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆37Updated 5 years ago
- ☆35Updated 2 years ago
- Using NSL_KDD data☆25Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆26Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆35Updated 7 years ago
- Network Security Analysis using Machine Learning on the NSL-KDD dataset from the KDD Cup 1999☆20Updated 5 years ago