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.
☆14Updated last year
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:
- 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…☆46Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆117Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆36Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- ☆47Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 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…☆16Updated 3 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆49Updated last year
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 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
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 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
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆181Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆32Updated 5 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆195Updated 2 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23Updated 3 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆23Updated last year
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆37Updated last year
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated last year
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆10Updated 2 years ago
- ☆91Updated last year
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆13Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- Network System Intrusion Detection using Graph Neural Networks☆19Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆37Updated 5 years ago