A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
☆388Mar 24, 2026Updated 2 months ago
Alternatives and similar repositories for Kitsune-py
Users that are interested in Kitsune-py are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆261Mar 28, 2024Updated 2 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆86Jan 13, 2022Updated 4 years ago
- Non-official implementation of Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection☆24Jun 8, 2022Updated 4 years ago
- Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis☆142Oct 30, 2023Updated 2 years ago
- source code for USENIX Security paper xNIDS☆61Aug 27, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆74Dec 16, 2021Updated 4 years ago
- BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems (NDSS'23)☆12Feb 9, 2023Updated 3 years ago
- CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has be…☆197Sep 3, 2023Updated 2 years ago
- ☆15Mar 24, 2023Updated 3 years ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆772May 8, 2019Updated 7 years ago
- CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has …☆701Dec 4, 2023Updated 2 years ago
- An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Jul 16, 2018Updated 7 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Sep 11, 2023Updated 2 years ago
- This is a paper list about Machine Learning for IDSes☆90Aug 27, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆29Aug 6, 2023Updated 2 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆227Apr 25, 2024Updated 2 years ago
- Code for our submission to the WTMC 2021 workshop☆16Jul 14, 2021Updated 4 years ago
- Reduce false-positive alarms via voxel based point cloud analysis.☆22May 6, 2024Updated 2 years ago
- ☆35Oct 14, 2023Updated 2 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Sep 27, 2017Updated 8 years ago
- Machine-learning-based intrusion detection☆39Jul 13, 2018Updated 7 years ago
- ☆54Nov 11, 2021Updated 4 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23May 13, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A machine learning based Intrusion Detection System☆173Dec 11, 2019Updated 6 years ago
- An Intrusion Detection System based on Deep Belief Networks☆93Oct 27, 2022Updated 3 years ago
- ☆42Jun 10, 2024Updated 2 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆25Dec 20, 2020Updated 5 years ago
- The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference …☆646Nov 6, 2025Updated 7 months ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆46Jun 3, 2019Updated 7 years ago
- Source code for 'Lemna: Explaining deep learning based security applications'.☆24May 15, 2020Updated 6 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆19Dec 13, 2020Updated 5 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆176Dec 15, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- An IDS implementation using machine learning☆40Aug 5, 2017Updated 8 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆145Jan 5, 2019Updated 7 years ago
- AI/ML and Cybersecurity: The Emperor has no Clothes☆18Oct 18, 2023Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 5 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Nov 14, 2018Updated 7 years ago
- Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation (INFOCOM22 & ToN23)☆44Jun 19, 2023Updated 2 years ago
- Real-Time Intrusion Detection and Prevention with Neural Network in Kernel using eBPF☆25Apr 9, 2024Updated 2 years ago