Stream-AD / MStream
Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
☆121Updated last year
Alternatives and similar repositories for MStream:
Users that are interested in MStream are comparing it to the libraries listed below
- MemStream: Memory-Based Streaming Anomaly Detection☆90Updated last year
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆35Updated 8 months ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆21Updated 4 years ago
- Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intru…☆17Updated 4 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆42Updated 3 months ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆14Updated 2 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
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆135Updated 2 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…☆42Updated 5 years ago
- ☆11Updated 3 years ago
- ☆26Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- ☆45Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆81Updated 2 years ago
- This program allow you to extract some features from pcap files.☆38Updated 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 6 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- Detection of network traffic anomalies using unsupervised machine learning☆25Updated 3 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆32Updated 3 years ago
- ☆16Updated 4 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆64Updated last year
- Machine-learning-based intrusion detection☆36Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 9 months ago
- Packet Representation Learning for Traffic Classification☆27Updated 3 months ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆37Updated 7 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆34Updated 7 months ago
- Network data classifier based on the recurrent neural network.☆22Updated 5 years ago