TATU-hacker / CNN-LSTM-GRULinks
Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models
☆17Updated 11 months ago
Alternatives and similar repositories for CNN-LSTM-GRU
Users that are interested in CNN-LSTM-GRU are comparing it to the libraries listed below
Sorting:
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆12Updated last year
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆14Updated 3 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23Updated 3 years ago
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆198Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated 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…☆45Updated 6 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆189Updated 4 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…☆15Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆122Updated 3 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆40Updated 5 years ago
- harshilpatel1799 / IoT-Network-Intrusion-Detection-and-Classification-using-Explainable-XAI-Machine-LearningThe continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆59Updated 4 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆66Updated 5 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆50Updated last year
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆13Updated 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
- Journal Article: IEEE Access☆17Updated 2 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆103Updated 2 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆146Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆57Updated 6 years ago
- CICIDS2017 dataset☆70Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆90Updated 3 years ago
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆11Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- ☆99Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆79Updated 7 months ago