MosabHamdan12 / nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-CitiesLinks
This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted for IoT-smart city networks, the upper layer network uses a gradient boosting classifier while the lower layer network employs deep learning (DL) based on the combination of a long-short-term memory and a convol…
☆13Updated 2 years ago
Alternatives and similar repositories for nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-Cities
Users that are interested in nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-Cities are comparing it to the libraries listed below
Sorting:
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆12Updated 11 months ago
- 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
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Deep learning models for network intrusion detection☆37Updated 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
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 9 months ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆11Updated 9 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
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 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…☆43Updated 6 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆13Updated 4 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago
- This is a CNN model for prediction of cyber attack, trained using NSL-KDD dataset☆10Updated last year
- IoT intrusion Detection Model based on neural network and random forests☆46Updated 6 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.…☆40Updated 6 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆11Updated 2 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆15Updated 2 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago