AkhilSinghRana / Network-Anomaly-Detection
This project is created to show how machine learning can be used to detect anomalies in network traffic.
☆37Updated 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
- Detection of network traffic anomalies using unsupervised machine learning☆25Updated 3 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆212Updated 2 years ago
- A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning☆43Updated 2 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆44Updated 2 years ago
- Machine Learning in Cybersecurity☆79Updated 5 months ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆77Updated 4 years ago
- AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset☆69Updated 3 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
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆63Updated 6 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆49Updated last year
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆67Updated 3 years ago
- CICIDS2017 dataset☆67Updated 3 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆61Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆82Updated 2 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆42Updated 3 months ago
- DDoS attack analysis using Machine Learning☆41Updated 4 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆96Updated 5 years ago
- Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.☆14Updated 4 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆204Updated 11 months ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆20Updated 3 years ago
- A research & development project to create and deploy a Network-based Intrusion Detection System (IDS) to detect intruders on a distribut…☆11Updated 6 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆163Updated 3 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 6 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 4 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆25Updated 2 years ago
- 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
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 4 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆108Updated 2 years ago