OsamaFaker / INTRUSION-DETECTION-BIG-DATALinks
☆22Updated 3 years ago
Alternatives and similar repositories for INTRUSION-DETECTION-BIG-DATA
Users that are interested in INTRUSION-DETECTION-BIG-DATA are comparing it to the libraries listed below
Sorting:
- 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.…☆40Updated 6 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 5 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 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
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Code of "MalDetect: A Structure of Encrypted Malware Traffic Detection"☆15Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 2 years ago
- Basic Machine learning projects and assignments done by me.☆32Updated 4 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆72Updated 3 years ago
- ☆18Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Attention Model for Network Intrusion Detection☆17Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 6 years ago
- Deep learning based Intrusion Detection System☆31Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- using 2d-cnn to classify network traffic☆20Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆45Updated 6 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…☆23Updated last year
- CICIDS2017 dataset☆69Updated 3 years ago
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆44Updated 4 years ago
- ☆27Updated 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…☆43Updated 6 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- ☆10Updated 6 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆23Updated 4 years ago