BhushanPawar-01 / Itrusion_Detection_System_using_CNNLinks
This is a CNN model for prediction of cyber attack, trained using NSL-KDD dataset
☆10Updated last year
Alternatives and similar repositories for Itrusion_Detection_System_using_CNN
Users that are interested in Itrusion_Detection_System_using_CNN 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 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 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 3 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆57Updated 6 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated 2 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆31Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆188Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆120Updated 3 years ago
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆15Updated last year
- Intrusion detection system using CNN and RNN☆24Updated 6 years ago
- IoT intrusion Detection Model based on neural network and random forests☆48Updated 7 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- NSL-KDD (for network-based intrusion detection systems (IDS)) is a dataset suggested to solve some of the inherent problems of the parent…☆12Updated 3 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆98Updated 6 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆13Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆26Updated 4 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…☆47Updated 3 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…☆45Updated 6 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆196Updated 2 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆13Updated 6 years ago
- ☆23Updated 6 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆12Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆49Updated last year
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆39Updated 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…☆12Updated last year