ymirsky / KitNET-py
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
☆233Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for KitNET-py
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆313Updated 7 months ago
- This is a paper list about Machine Learning for IDSes☆86Updated 2 months ago
- An automatic packet crafting tool for evading learning-based NIDS☆74Updated 2 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆129Updated last year
- ☆141Updated 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
- 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
- ☆24Updated last year
- ☆15Updated last year
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆113Updated 10 months 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
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆71Updated 2 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆79Updated 6 years ago
- ☆27Updated 6 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
- NSL-KDD Dataset☆173Updated 9 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 …☆81Updated 5 years ago
- Non-official implementation of Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection☆20Updated 2 years ago
- Network data classifier based on the recurrent neural network.☆22Updated 5 years ago
- CICIDS2017 dataset☆55Updated 2 years ago
- This program allow you to extract some features from pcap files.☆38Updated 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.…☆39Updated 6 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆62Updated last year
- Traffic dataset USTC-TFC2016☆113Updated 5 years ago
- ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …☆69Updated 9 months ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆20Updated 5 years ago
- ☆10Updated 5 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆43Updated 6 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆31Updated 3 years ago