noushinpervez / Intrusion-Detection-CICIDS2017Links
This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showcasing the implementation and comparison of different machine learning models for binary and multi-class classification tasks.
☆79Updated last year
Alternatives and similar repositories for Intrusion-Detection-CICIDS2017
Users that are interested in Intrusion-Detection-CICIDS2017 are comparing it to the libraries listed below
Sorting:
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆64Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆85Updated 2 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆175Updated 3 years ago
- Machine Learning in Cybersecurity☆86Updated 3 months ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆181Updated 2 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆86Updated 4 years ago
- IoT Attack Detection with machine learning☆27Updated 2 months ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 11 months 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
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆114Updated 2 years ago
- ☆87Updated last year
- ☆45Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- CICIDS2017 dataset☆71Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆138Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆226Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆35Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- Based on the CICIDS2017 dataset and Pytorch platform☆29Updated 6 years ago
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆69Updated 2 months ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆15Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆46Updated 11 months ago