PythonJulia / NSL-KDD-Data-AnalysisLinks
NSL-KDD (for network-based intrusion detection systems (IDS)) is a dataset suggested to solve some of the inherent problems of the parent KDD'99 dataset. This IDS basically helps to determine security of systems and alarming when intrusion is noticed or detected. Choosing NSL-KDD provides insightful analysis using various machine learning algori…
☆12Updated 3 years ago
Alternatives and similar repositories for NSL-KDD-Data-Analysis
Users that are interested in NSL-KDD-Data-Analysis are comparing it to the libraries listed below
Sorting:
- In Python all topics are successfully completed.☆10Updated 3 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆90Updated 3 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆188Updated 4 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Updated 3 years ago
- 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…☆31Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆197Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 5 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆145Updated 4 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
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated 2 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Updated 2 years ago
- IoT intrusion Detection Model based on neural network and random forests☆48Updated 7 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆120Updated 3 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆92Updated 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
- Machine Learning Algorithms on NSL-KDD dataset☆98Updated 6 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆66Updated 5 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆26Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆57Updated 6 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆16Updated 2 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- ☆94Updated 2 years ago
- CICIDS2017 dataset☆69Updated 4 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆13Updated 5 years ago
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆11Updated 3 years ago
- Intrusion detection system using CNN and RNN☆24Updated 6 years ago