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 8 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:
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 2018Updated 8 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆146Jan 5, 2019Updated 7 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆19Dec 13, 2020Updated 5 years ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆17May 10, 2023Updated 3 years ago
- A generative deep learning model based on GAN architecture was implemented to generate synthetic network data (benign and malicious) alik…☆11Oct 23, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)☆19Jul 9, 2019Updated 7 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Dec 27, 2023Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Aug 16, 2020Updated 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 9 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆14Aug 24, 2019Updated 7 years ago
- A machine learning based Intrusion Detection System☆175Dec 11, 2019Updated 6 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆15Dec 11, 2022Updated 3 years ago
- ☆23Feb 9, 2022Updated 4 years ago
- clean data ,feature selection , svm based kdd99☆27Oct 18, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆16Jul 20, 2022Updated 4 years ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆773May 8, 2019Updated 7 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆180Dec 15, 2019Updated 6 years ago
- CSE-CIC-IDS-2018 analyze with Random Forest☆33Apr 4, 2021Updated 5 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
- 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
- Using NSL_KDD data☆29Mar 3, 2019Updated 7 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…☆14May 18, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- IoT intrusion Detection Model based on neural network and random forests☆50Oct 16, 2018Updated 7 years ago
- ☆16Jan 5, 2018Updated 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…☆298Dec 22, 2023Updated 2 years ago
- An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Jul 16, 2018Updated 8 years ago
- intrusion detection☆25Jun 14, 2017Updated 9 years ago
- A Pytorch implementation of a proof-of-concept Intrusion Detection and Prevention system☆11Oct 1, 2019Updated 7 years ago
- Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have…☆29Dec 19, 2021Updated 4 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆209Sep 8, 2021Updated 5 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Bachelor's thesis (UHasselt, 2016): a flow-based network intrusion detection system built on machine learning.☆41Sep 4, 2016Updated 10 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Oct 30, 2018Updated 7 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆74Mar 25, 2023Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Apr 9, 2020Updated 6 years ago
- Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGB…☆598Apr 1, 2026Updated 6 months ago
- CP-ABE测试加解密操作和密钥生成操作的性能☆10Jun 24, 2020Updated 6 years ago
- NSL-KDD (for network-based intrusion detection systems (IDS)) is a dataset suggested to solve some of the inherent problems of the parent…☆12Feb 11, 2022Updated 4 years ago