ymirsky / KitNET-pyLinks
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
☆243Updated 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)☆353Updated last year
- This is a paper list about Machine Learning for IDSes☆90Updated last year
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆140Updated 2 years ago
- NSL-KDD Dataset☆191Updated 10 years ago
- ☆27Updated 2 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 5 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆82Updated 3 years ago
- ☆144Updated 4 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 6 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 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 network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆121Updated last year
- 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
- 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
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- This forked repository contains our fixed version of the original CICFlowmeter tool. The improvements were implemented as part of our pap…☆47Updated last year
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆71Updated 5 months ago
- IDS abnormal traffic detection tensorflow☆41Updated 6 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 4 years ago
- Machine-learning-based intrusion detection☆39Updated 7 years ago
- This program allow you to extract some features from pcap files.☆40Updated 2 years ago
- Basic Machine learning projects and assignments done by me.☆32Updated 5 years ago
- ☆16Updated 5 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆94Updated 2 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- CSE-CIC-IDS-2018 analyze with Random Forest☆32Updated 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。☆47Updated 5 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆120Updated 5 years ago
- ☆15Updated 2 years ago