ymirsky / KitNET-pyLinks
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
☆248Updated last year
Alternatives and similar repositories for KitNET-py
Users that are interested in KitNET-py are comparing it to the libraries listed below
Sorting:
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆359Updated last year
- This is a paper list about Machine Learning for IDSes☆90Updated last year
- NSL-KDD Dataset☆198Updated 10 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Updated 2 years ago
- ☆147Updated 5 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 5 years ago
- Machine-learning-based intrusion detection☆38Updated 7 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 7 years ago
- ☆25Updated 2 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆87Updated 7 years ago
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆121Updated last year
- 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
- 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.…☆42Updated 7 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 4 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆84Updated 3 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆73Updated 8 months ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆98Updated 2 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
- IDS abnormal traffic detection tensorflow☆44Updated 6 years ago
- These scripts conduct TCPDUMP in harmony with CICFlowMeter to operation real-time traffic capturing and converting in csv file.☆52Updated 5 years ago
- ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …☆75Updated last year
- This program allow you to extract some features from pcap files.☆40Updated 2 years ago
- ☆94Updated 2 years ago
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆172Updated 2 years ago
- ☆10Updated 7 years ago
- This forked repository contains our fixed version of the original CICFlowmeter tool. The improvements were implemented as part of our pap…☆50Updated last year
- Non-official implementation of Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection☆23Updated 3 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
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆42Updated 7 years ago