SubrataMaji / IDS-UNSW-NB15
Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
☆75Updated 4 years ago
Alternatives and similar repositories for IDS-UNSW-NB15:
Users that are interested in IDS-UNSW-NB15 are comparing it to the libraries listed below
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆151Updated 3 years ago
- IoT intrusion Detection Model based on neural network and random forests☆44Updated 6 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆83Updated last year
- 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
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 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
- Deep learning models for network intrusion detection☆33Updated last year
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 6 months ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆82Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆103Updated 2 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆122Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆77Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆58Updated 4 years ago
- Machine Learning in Cybersecurity☆73Updated 3 months ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆36Updated 7 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆42Updated 7 months ago
- harshilpatel1799 / IoT-Network-Intrusion-Detection-and-Classification-using-Explainable-XAI-Machine-LearningThe continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆46Updated 3 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 3 months ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆31Updated last year
- Machine Learning Algorithms on NSL-KDD dataset☆91Updated 5 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆85Updated 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…☆8Updated 10 months ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆31Updated 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