abhinav-bhardwaj / IoT-Network-Intrusion-Detection-System-UNSW-NB15Links
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
☆175Updated 3 years ago
Alternatives and similar repositories for IoT-Network-Intrusion-Detection-System-UNSW-NB15
Users that are interested in IoT-Network-Intrusion-Detection-System-UNSW-NB15 are comparing it to the libraries listed below
Sorting:
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆85Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆174Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆113Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆55Updated 6 years ago
- Deep learning models for network intrusion detection☆37Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆134Updated 3 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆280Updated last year
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 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
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆46Updated 6 years ago
- Machine Learning in Cybersecurity☆84Updated last month
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 4 years ago
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆12Updated 3 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆156Updated 5 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆260Updated 5 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…☆43Updated 6 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆34Updated 5 years ago
- ☆43Updated 2 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆99Updated 6 years ago