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
☆173Updated 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☆87Updated last year
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆85Updated 4 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆134Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆109Updated 2 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆169Updated 2 years ago
- CICIDS2017 dataset☆69Updated 3 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
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 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…☆25Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆70Updated 4 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 years ago
- Deep learning models for network intrusion detection☆36Updated 2 years ago
- A Deep Learning approach toward creating a NIDS using python☆24Updated last year
- IoT intrusion Detection Model based on neural network and random forests☆45Updated 6 years ago
- Deep learning based Intrusion Detection System☆31Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 5 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 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
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- Network System Intrusion Detection using Graph Neural Networks☆16Updated last year
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆281Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 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
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 6 years ago