Alish-10 / CNN-BiLSTM-Network-Intrusion-Detection-ReplicationLinks
Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to understand the research process, model training, accuracy evaluation, and research paper writing.
☆11Updated 10 months ago
Alternatives and similar repositories for CNN-BiLSTM-Network-Intrusion-Detection-Replication
Users that are interested in CNN-BiLSTM-Network-Intrusion-Detection-Replication are comparing it to the libraries listed below
Sorting:
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆70Updated 4 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
- 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 System using Machine Learning and Deep Learning☆87Updated last year
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆12Updated 11 months 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
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆44Updated 2 years ago
- This is a CNN model for prediction of cyber attack, trained using NSL-KDD dataset☆10Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆110Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- Deep learning models for network intrusion detection☆37Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated 2 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
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆46Updated 6 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆13Updated 3 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆169Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- ☆42Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆173Updated 3 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆13Updated 5 years ago
- Using NSL_KDD data☆27Updated 6 years ago