ymirsky / KitNET-pyLinks
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
☆239Updated 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)☆341Updated last year
- This is a paper list about Machine Learning for IDSes☆89Updated 9 months ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆138Updated 2 years ago
- ☆143Updated 4 years ago
- Non-official implementation of Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection☆22Updated 3 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆72Updated 3 years ago
- ☆27Updated last year
- An automatic packet crafting tool for evading learning-based NIDS☆80Updated 3 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.…☆40Updated 6 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 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
- Feature coded UNSW_NB15 intrusion detection data.☆87Updated 7 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- Modbus Dataset from CSET 2016☆47Updated 2 years ago
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆121Updated last year
- NSL-KDD Dataset☆187Updated 9 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆119Updated 5 years ago
- CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has be…☆185Updated last year
- CSE-CIC-IDS-2018 analyze with Random Forest☆32Updated 4 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
- 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
- A Zeek script to generate features based on timing, volume and metadata for traffic classification.☆56Updated 4 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 6 years ago
- Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis☆128Updated last year
- IoT intrusion Detection Model based on neural network and random forests☆46Updated 6 years ago
- Using RL for anomaly detection in NSL-KDD☆119Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 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 …☆88Updated 5 years ago
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆10Updated 2 years ago
- This is a Python version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) - an Ethernet traffic Bi-flow generator and analyzer for …☆73Updated 3 years ago