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Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.
Created
2012-08-14
16,459 commits to master branch, last one 8 days ago
Security Onion is a free and open platform for threat hunting, enterprise security monitoring, and log management. It includes our own interfaces for alerting, dashboards, hunting, PCAP, detections, a...
Created
2018-02-05
15,775 commits to 2.4/main branch, last one about a month ago
Real-time HTTP Intrusion Detection
This repository has been archived
(exclude archived)
Created
2020-07-21
843 commits to v2 branch, last one 9 months ago
AD Security Intrusion Detection System
This repository has been archived
(exclude archived)
Created
2019-10-24
30 commits to master branch, last one 2 years ago
Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT ...
Created
2015-12-08
12,804 commits to master branch, last one 20 days ago
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Created
2022-09-09
35 commits to main branch, last one 6 months ago
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Created
2021-05-25
50 commits to main branch, last one about a year ago
The OWASP SecureTea Project provides a one-stop security solution for various devices (personal computers / servers / IoT devices)
Created
2018-03-20
1,243 commits to master branch, last one about a year ago
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
Created
2018-09-24
662 commits to master branch, last one 3 years ago
This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".
Created
2018-09-22
33 commits to master branch, last one 4 years ago
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for...
Created
2021-08-16
33 commits to main branch, last one about a year ago
Entropy scanner for Linux to detect packed or encrypted binaries related to malware. Finds malicious files and Linux processes and gives output with cryptographic hashes.
Created
2019-11-25
14 commits to master branch, last one 8 months ago
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Created
2021-04-12
25 commits to master branch, last one 3 years ago
An Intrusion Detection System based on Deep Belief Networks
Created
2022-05-13
50 commits to master branch, last one 2 years ago
Sandfly Security Agentless Compromise and Intrusion Detection System For Linux
Created
2018-05-23
105 commits to master branch, last one about a month ago
OPNSense's Suricata IDS/IPS Detection Rules Against NMAP Scans
Created
2023-06-04
88 commits to main branch, last one 5 months ago
Machine learning based Intrusion detection system (IDS)
Created
2020-07-02
140 commits to master branch, last one 2 years ago
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in ...
iot
svm
drift
nsl-kdd
xgboost
lightgbm
data-stream
concept-drift
random-forest
change-detector
drift-detection
online-learning
machine-learning
anomaly-detection
iot-data-analytics
real-time-analytics
bayesian-optimization
intrusion-detection-system
hyperparameter-optimization
particle-swarm-optimization
Created
2021-04-02
38 commits to main branch, last one 10 months ago
Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the CIC IDS 2018 dataset for training Machine Learning network int...
Created
2022-01-06
30 commits to master branch, last one 2 years ago
Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE...
Created
2023-02-14
21 commits to master branch, last one 8 months ago
source code for USENIX Security paper xNIDS
Created
2022-09-30
13 commits to main branch, last one 2 months ago
Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stre...
Created
2022-10-01
26 commits to main branch, last one about a year ago
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" pu...
6g
ids
automl
data-streams
concept-drift
cybersecurity
deep-learning
python-examples
machine-learning
feature-selection
network-automation
zero-touch-network
adversarial-attacks
feature-engineering
hyperparameter-tuning
data-stream-processing
automated-machine-learning
intrusion-detection-system
hyperparameter-optimization
adversarial-machine-learning
Created
2023-08-17
19 commits to main branch, last one 2 months ago