HoangNV2001 / Real-time-IDS
Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE) for anomaly detection.
☆61Updated last year
Alternatives and similar repositories for Real-time-IDS:
Users that are interested in Real-time-IDS are comparing it to the libraries listed below
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆64Updated 4 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated 2 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 5 years ago
- Machine Learning in Cybersecurity☆82Updated 7 months ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆16Updated last year
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆42Updated last year
- CICIDS2017 dataset☆69Updated 3 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆82Updated 4 years ago
- ⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆10Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 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…☆26Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago
- ☆82Updated last year
- As society and technology develop, more and more of our time is spent online, from shopping to socialising, working to banking. Ensuring …☆13Updated 2 years ago
- An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.☆21Updated 4 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆16Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆86Updated last year
- A research project of anomaly detection on dataset IoT-23☆97Updated 8 months ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆60Updated last year
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆167Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆109Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 7 months ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆132Updated 3 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 9 months ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆173Updated 3 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago