slrbl / Intrusion-and-anomaly-detection-with-machine-learningLinks
Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
☆156Updated 2 weeks ago
Alternatives and similar repositories for Intrusion-and-anomaly-detection-with-machine-learning
Users that are interested in Intrusion-and-anomaly-detection-with-machine-learning are comparing it to the libraries listed below
Sorting:
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆142Updated 6 years ago
- NSL-KDD Dataset☆191Updated 10 years ago
- Machine-learning-based intrusion detection☆39Updated 7 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
- Network Intrusion Detection System using Deep Learning Techniques☆160Updated 5 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆209Updated last year
- A machine learning based Intrusion Detection System☆145Updated 5 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆281Updated last year
- Network data classifier based on the recurrent neural network.☆20Updated 6 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 4 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Updated 7 years ago
- SSH traffic analysis☆23Updated 6 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆70Updated 6 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆105Updated 5 years ago
- Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately networ…☆104Updated 5 years ago
- ☆70Updated 2 years ago
- Designed and developed an anomaly and misuse based intrusion detection system using neural networks. Technologies used: Java Weka and R.…☆31Updated 10 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.…☆41Updated 6 years ago
- An IDS implementation using machine learning☆37Updated 8 years ago
- Detecting malicious URLs using an autoencoder neural network☆41Updated 2 years ago
- Identify malicious behavior and attacks using Machine Learning with Python☆48Updated 8 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆263Updated 5 years ago
- Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffi…☆68Updated 4 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆226Updated 2 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 4 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆70Updated 2 years ago
- This is a paper list about Machine Learning for IDSes☆89Updated last year
- Deep Learning Tool for Off-line Network Intrusion Detection System☆23Updated 6 years ago
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆350Updated last year
- CSE-CIC-IDS-2018 analyze with Random Forest☆32Updated 4 years ago