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.
☆72Updated 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.☆63Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆12Updated 2 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
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 9 months ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆173Updated 3 years ago
- ☆43Updated 2 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆85Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆67Updated 3 weeks ago
- Machine Learning in Cybersecurity☆84Updated last month
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆12Updated 10 months ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆113Updated 2 years ago
- ☆86Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆55Updated 6 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆15Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 6 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- Deep learning models for network intrusion detection☆37Updated 2 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆173Updated 2 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆12Updated 11 months ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆34Updated 5 years ago
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆9Updated 2 years ago