A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning
☆46Jun 13, 2022Updated 4 years ago
Alternatives and similar repositories for Network-Anomaly-Detection
Users that are interested in Network-Anomaly-Detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Detection of network traffic anomalies using unsupervised machine learning☆27Jan 26, 2022Updated 4 years ago
- This project is created to show how machine learning can be used to detect anomalies in network traffic.☆55Sep 26, 2020Updated 5 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆238Nov 16, 2022Updated 3 years ago
- Anomaly Detection in Network Traffic using different clustering algorithm.☆18Jun 8, 2017Updated 9 years ago
- Classifying network traffic using machine learning approach☆23Jul 5, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated…☆24Oct 16, 2020Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆39May 5, 2017Updated 9 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆27Jul 29, 2021Updated 5 years ago
- Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.☆15Oct 17, 2020Updated 5 years ago
- Normalized network traffic entropy-based DDoS detection in P4☆13May 9, 2024Updated 2 years ago
- Reproduction of "Sliding Window Optimized Information Entropy Analysis Method for Intrusion Detection on In-Vehicle Networks"☆13May 30, 2021Updated 5 years ago
- Deep Learning model for analysis and identify the application for given Teletraffic pattern. 1D convolution and FFN models using for this…☆20May 30, 2021Updated 5 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆73Mar 22, 2019Updated 7 years ago
- ☆13Aug 2, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 定义了网络流量数据的分布外数据类型,其次介绍了两个检测方法使用到的知识或技术,并利用这些技术知识设计了基于两种检测方法的分布外异常检测系统。☆10Sep 26, 2023Updated 2 years ago
- ☆19Jun 20, 2021Updated 5 years ago
- A Machine Learning based tool for identifying P2P (Peer To Peer) Bot-Nets using network traffic analysis, as well as detect the hosts inv…☆12Jan 4, 2023Updated 3 years ago
- AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset☆94Jul 30, 2021Updated 5 years ago
- This repository contains the dataset of the paper ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks☆14Apr 28, 2023Updated 3 years ago
- Network data classifier based on the recurrent neural network.☆20Apr 3, 2019Updated 7 years ago
- An Intrusion Detection System written in Python☆28Oct 28, 2023Updated 2 years ago
- As society and technology develop, more and more of our time is spent online, from shopping to socialising, working to banking. Ensuring …☆10Oct 8, 2022Updated 3 years ago
- Notebooks exploring the Canadian Institute of Cybersecurity's IoT dataset.☆11Mar 6, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code and data release for CCS'2022 paper "Understanding IoT Security from a Market-Scale Perspective"☆11Apr 13, 2023Updated 3 years ago
- This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB ima…☆12Nov 27, 2021Updated 4 years ago
- Machine Learning Based DDoS Detection (HTTP,UDP,TCP and ICMP Flood Attack)☆10Jul 3, 2018Updated 8 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆25Apr 28, 2023Updated 3 years ago
- Artifacts for our RAID 2023 paper, "Xunpack: Cross-Architecture Unpacking for Linux IoT Malware"☆15Oct 12, 2023Updated 2 years ago
- AI-enabled Cybersecurity for Future Smart Environments☆25Aug 7, 2024Updated 2 years ago
- learn to allocate wireless resources with GNN in over-the-air FL system☆10Jun 4, 2023Updated 3 years ago
- 采用VAE模型实现网络流量异常检测,并结合联邦学习与蒸馏学习☆17Dec 1, 2023Updated 2 years ago
- Log anomaly detection based on MogrifierLSTM + CNN☆14Apr 23, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Anomaly Detection using PCA and BiGAN☆14Sep 27, 2020Updated 5 years ago
- Bricks Breaker: A fun game made with HTML5, CSS3 and JavaScript☆13Oct 14, 2022Updated 3 years ago
- An Intrusion Detection System Based on Machine Learning☆54Mar 12, 2021Updated 5 years ago
- SIGIR 2022: Privacy-Preserving Synthetic Data Generation for Recommendation Systems☆10Nov 17, 2022Updated 3 years ago
- Phishing Website detection with Machine Learning. This include flask server, chrome extension and machine learning for phishing website d…☆13Sep 27, 2021Updated 4 years ago
- Collection of Python scripts for preference aggregation, estimation, and generation. Currently under initial development☆11Apr 20, 2019Updated 7 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆13Dec 23, 2023Updated 2 years ago