tjnel / DSU_INSuRE_SP19_IDS_Prioritization
IDS Alert Prioritization INSuRE Research Project
☆17Updated 5 years ago
Alternatives and similar repositories for DSU_INSuRE_SP19_IDS_Prioritization:
Users that are interested in DSU_INSuRE_SP19_IDS_Prioritization are comparing it to the libraries listed below
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆37Updated 7 years ago
- Deep learning models for network intrusion detection☆34Updated 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
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆24Updated 4 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.…☆38Updated 6 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 3 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。☆44Updated 4 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 4 years ago
- CICIDS2017 dataset☆61Updated 3 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆30Updated 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☆33Updated 6 years ago
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆53Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆83Updated 7 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 4 years ago
- CSE-CIC-IDS-2018 analyze with Random Forest☆29Updated 3 years ago
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆22Updated last year
- Network data classifier based on the recurrent neural network.☆22Updated 5 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☆85Updated last year
- ☆22Updated 3 years ago
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆86Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 4 months ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆29Updated 4 years ago
- Deep Learning Tool for Off-line Network Intrusion Detection System☆24Updated 6 years ago
- IoT intrusion Detection Model based on neural network and random forests☆44Updated 6 years ago
- Basic Machine learning projects and assignments done by me.☆31Updated 4 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago