AkhilSinghRana / Network-Anomaly-Detection
This project is created to show how machine learning can be used to detect anomalies in network traffic.
☆40Updated 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
Sorting:
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆219Updated 2 years ago
- A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning☆45Updated 2 years ago
- Detection of network traffic anomalies using unsupervised machine learning☆26Updated 3 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆68Updated 6 years ago
- Machine Learning in Cybersecurity☆82Updated 7 months ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆64Updated 4 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆132Updated 3 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆60Updated last year
- AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset☆74Updated 3 years ago
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆62Updated last year
- Traffic flow classifier and a monitoring app that analyses all the flows passed through a switch and flags the one which seems to be an a…☆10Updated 3 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆22Updated 3 years ago
- An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.☆21Updated 4 years ago
- CICIDS2017 dataset☆69Updated 3 years ago
- Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGB…☆22Updated 2 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆47Updated 2 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆42Updated last year
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆206Updated last year
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 6 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- DDoS attack analysis using Machine Learning☆43Updated 4 years ago
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆99Updated 2 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆33Updated 6 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆26Updated 2 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆83Updated 4 years ago
- ☆28Updated 2 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- A research project of anomaly detection on dataset IoT-23☆97Updated 8 months ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆16Updated last year
- Machine Learning Algorithms on NSL-KDD dataset☆98Updated 5 years ago