mohammedAcheddad / AI-Based-Network-IDS_ML-DLLinks
Welcome this is a comprehensive repository dedicated to advancing Network Intrusion Detection Systems (NIDS) through the power of Machine Learning (ML) and Deep Learning (DL). This project aims to develop, evaluate, and optimize intelligent models capable of accurately detecting and mitigating a wide array of network threats and anomalies.
☆46Updated 3 weeks ago
Alternatives and similar repositories for AI-Based-Network-IDS_ML-DL
Users that are interested in AI-Based-Network-IDS_ML-DL are comparing it to the libraries listed below
Sorting:
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆144Updated 4 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆53Updated 2 years ago
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆78Updated 5 months ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆90Updated 2 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆289Updated last year
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆65Updated 5 years ago
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- Machine Learning in Cybersecurity☆89Updated 6 months ago
- Network Intrusion Detection System using Deep Learning Techniques☆166Updated 5 years ago
- A machine learning based Intrusion Detection System☆155Updated 5 years ago
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆104Updated 3 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGB…☆544Updated 3 months ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆182Updated 4 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆195Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆214Updated last year
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆32Updated 5 years ago
- Intrusion detection system using CNN and RNN☆24Updated 6 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆233Updated 3 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆90Updated 5 years ago
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆39Updated last year
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆18Updated 2 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆13Updated 5 years ago
- AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset☆88Updated 4 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆99Updated 6 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Updated 3 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Netwo…☆20Updated last year