mohakraaj / IntrusionDetectionSystemLinks
A HYBRID APPROACH TO ANOMALY DETECTION USING FUZZY LOGIC TUNED WITH EVOLUTIONARY ALGORITHMS
☆15Updated 10 years ago
Alternatives and similar repositories for IntrusionDetectionSystem
Users that are interested in IntrusionDetectionSystem are comparing it to the libraries listed below
Sorting:
- 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☆33Updated 7 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.…☆42Updated 7 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆127Updated 5 years ago
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆168Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Updated last year
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Updated 6 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆47Updated last year
- Basic Machine learning projects and assignments done by me.☆32Updated 5 years ago
- ☆24Updated 6 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
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆267Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆48Updated 6 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆47Updated 2 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆51Updated 10 months ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆17Updated last year
- Network data classifier based on the recurrent neural network.☆20Updated 6 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years 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
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …☆51Updated 6 years ago
- ☆11Updated 3 years ago
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆90Updated 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
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 3 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆27Updated 5 years ago