TGyAlDeen / IDS-UNSW-NB15
IoT intrusion Detection Model based on neural network and random forests
☆44Updated 6 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
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆36Updated 7 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆32Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆83Updated last year
- Deep learning models for network intrusion detection☆33Updated last year
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 3 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆38Updated 6 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm