ymirsky / KitNET-py
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
☆238Updated last year
Alternatives and similar repositories for KitNET-py:
Users that are interested in KitNET-py are comparing it to the libraries listed below
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆338Updated last year
- This is a paper list about Machine Learning for IDSes☆89Updated 8 months ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆138Updated 2 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆79Updated 3 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
- 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
- ☆27Updated last year
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- NSL-KDD Dataset☆185Updated 9 years ago
- ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …☆72Updated last year
- 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
- ☆143Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- ☆22Updated 3 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆71Updated 3 years ago
- ☆16Updated 5 years ago
- These scripts conduct TCPDUMP in harmony with CICFlowMeter to operation real-time traffic capturing and converting in csv file.☆49Updated 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。☆46Updated 4 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆92Updated last year
- CICIDS2017 dataset☆69Updated 3 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…☆43Updated 5 years ago
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆121Updated last year
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago
- Network data classifier based on the recurrent neural network.☆21Updated 6 years ago
- Non-official implementation of Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection☆22Updated 2 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 6 years ago
- This program allow you to extract some features from pcap files.☆38Updated 2 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆67Updated last month
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆119Updated 5 years ago