JiachuanDENG / KDDCup99_NID_LSTM
Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data
☆15Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for KDDCup99_NID_LSTM
- Intrusion detection system using CNN and RNN☆22Updated 5 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
- Deep learning models for network intrusion detection☆33Updated last year
- Deep learning based Intrusion Detection System☆27Updated 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
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆28Updated 4 years ago
- IoT intrusion Detection Model based on neural network and random forests☆43Updated 6 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 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
- Using NSL_KDD data☆25Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆81Updated 10 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- clean data ,feature selection , svm based kdd99☆26Updated 5 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 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
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 3 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 4 years ago
- using machine-learning to detecte instruction☆28Updated 5 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 4 months ago
- ☆22Updated 5 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆29Updated 6 years ago
- A Deep Learning approach toward creating a NIDS using python☆23Updated last year
- Based on the CICIDS2017 dataset and Pytorch platform☆26Updated 5 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- 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
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆23Updated 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。☆42Updated 4 years ago
- This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB ima…☆11Updated 2 years ago