Awesome Open Source

Programming Languages

Search results for machine learning intrusion detection

intrusion-detection x

machine-learning x

23 search results found

Machine Learning for Computer Security

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Network Intrusion Detection ⭐ 195

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

Intrusion And Anomaly Detection With Machine Learning ⭐ 129

Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

Cyber Security ⭐ 89

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

Suspicious_login ⭐ 73

Detect and warn about suspicious IPs logging into Nextcloud

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Intrusion Detection System Using Cnn And Transfer Learning ⭐ 54

Code for intrusion detection system (IDS) development using CNN models and transfer learning

Awesome Ai For Cybersecurity ⭐ 32

Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), application (WAF or database firewalls), user (UBA), process behavior (anti-fraud).

Intrusion Detection System ⭐ 28

IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including perhaps insider.

Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.

Cic Ids 2018 ⭐ 16

CSE-CIC-IDS-2018 analyze with Random Forest

Machine Learning Based - Intrusion Detection System

Aecid Alert Aggregation ⭐ 10

A method for grouping, clustering, and merging semi-structured alerts

Machine Learning Intrusion Detection and Network Monitor written in C#

Dsu_insure_sp19_ids_prioritization ⭐ 10

IDS Alert Prioritization INSuRE Research Project

Mangyawaf ⭐ 6

A Machine Learning Based Web Application firewall

Intrusion Detection ⭐ 6

Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)

convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network traffic

Maching Learning Cdac Technopark ⭐ 6

Maching learning workshop at CDAC, Technopark, Thiruvananthapuram

Advanced Access Point Anomaly Detection System

Sparkstreaming Network Anomaly Detection ⭐ 5

This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning.

Related Searches

Python Machine Learning (14,099)

Jupyter Notebook Machine Learning (12,247)

Machine Learning Neural Network (4,397)

Machine Learning Tensorflow (4,050)

Machine Learning Natural Language Processing (3,891)

Machine Learning Artificial Intelligence (3,877)

Machine Learning Data Science (3,802)

Machine Learning Pytorch (2,910)

Machine Learning Dataset (2,298)

Machine Learning Computer Vision (1,966)

1-23 of 23 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.