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.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contain…
☆40Sep 27, 2018Updated 7 years ago
Alternatives and similar repositories for Intrusion-Detection-System
Users that are interested in Intrusion-Detection-System are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Comparing Anomaly-Based Network Intrusion Detection Approaches Under Practical Aspects☆11Mar 25, 2023Updated 3 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆19Dec 13, 2020Updated 5 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆31Feb 20, 2019Updated 7 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆145Jan 5, 2019Updated 7 years ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆18May 10, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A generative deep learning model based on GAN architecture was implemented to generate synthetic network data (benign and malicious) alik…☆10Oct 23, 2021Updated 4 years ago
- Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)☆19Jul 9, 2019Updated 6 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆97May 30, 2019Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆13Aug 16, 2020Updated 5 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆13Aug 24, 2019Updated 6 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Sep 27, 2017Updated 8 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆272Apr 5, 2020Updated 5 years ago
- clean data ,feature selection , svm based kdd99☆27Oct 18, 2019Updated 6 years ago
- ☆23Feb 9, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆761May 8, 2019Updated 6 years ago
- CSE-CIC-IDS-2018 analyze with Random Forest☆30Apr 4, 2021Updated 4 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆89Jan 24, 2018Updated 8 years ago
- A HYBRID APPROACH TO ANOMALY DETECTION USING FUZZY LOGIC TUNED WITH EVOLUTIONARY ALGORITHMS☆16Dec 12, 2014Updated 11 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…☆17Jul 20, 2022Updated 3 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆15May 18, 2022Updated 3 years ago
- Using NSL_KDD data☆28Mar 3, 2019Updated 7 years ago
- Pre-processing NSL-KDD dataset using Data mining techniques. Algorithm written in python to detect the attacks in NSL KDD dataset.☆27Jan 6, 2020Updated 6 years ago
- IoT intrusion Detection Model based on neural network and random forests☆48Oct 16, 2018Updated 7 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- intrusion detection☆26Jun 14, 2017Updated 8 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆295Dec 22, 2023Updated 2 years ago
- A Pytorch implementation of a proof-of-concept Intrusion Detection and Prevention system☆11Oct 1, 2019Updated 6 years ago
- ☆16Jan 5, 2018Updated 8 years ago
- An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Jul 16, 2018Updated 7 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆200Apr 21, 2023Updated 2 years ago
- [Finished] My Bachelor thesis for the Bachelor Computer Science (2015-2016) at UHasselt: An Intrusion detection system using machine lear…☆41Sep 4, 2016Updated 9 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆73Mar 25, 2023Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Apr 9, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGB…☆578Aug 6, 2025Updated 7 months ago
- This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets☆59Dec 5, 2019Updated 6 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆66Aug 14, 2020Updated 5 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Jun 25, 2022Updated 3 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆39May 5, 2017Updated 8 years ago
- En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.☆28Nov 1, 2022Updated 3 years ago
- Creating a NIDS based on a Deep Neural Network (CNN)☆11Dec 31, 2018Updated 7 years ago