intrusion-detection-system
There are 229 repositories under intrusion-detection-system topic.
OISF/suricata
Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.
kitabisa/teler
Real-time HTTP Intrusion Detection
Security-Onion-Solutions/securityonion
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, and case management. It also includes other tools such as Playbook, osquery, CyberChef, Elasticsearch, Logstash, Kibana, Suricata, and Zeek.
Qianlitp/WatchAD
AD Security Intrusion Detection System
stratosphereips/StratosphereLinuxIPS
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 in Prague.
Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
OWASP/SecureTea-Project
The OWASP SecureTea Project provides a one-stop security solution for various devices (personal computers / servers / IoT devices)
Albertsr/Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
rahulvigneswaran/Intrusion-Detection-Systems
This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".
CynthiaKoopman/Network-Intrusion-Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation
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 Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
sandflysecurity/sandfly-entropyscan
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.
abhinav-bhardwaj/Network-Intrusion-Detection-Using-Machine-Learning
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
ggulgun/NIDS-Intrusion-Detection
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
othmbela/dbn-based-nids
An Intrusion Detection System based on Deep Belief Networks
sandflysecurity/sandfly-setup
Sandfly Security Agentless Compromise and Intrusion Detection System For Linux
bibs2091/Anomaly-detection-system
Machine learning based Intrusion detection system (IDS)
Western-OC2-Lab/OASW-Concept-Drift-Detection-and-Adaptation
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 IEEE Internet of Things Magazine.
TGyAlDeen/IDS-UNSW-NB15
IoT intrusion Detection Model based on neural network and random forests
tamerthamoqa/cic-ids-2018-intrusion-detection-classification
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 intrusion detection classifier models.
willfindlay/ebpH
ebpH (Extended BPF Process Homeostasis) monitors process behavior on your system to establish normal behavioral patterns. ebpH reports anomalous behavior and prevents attacks by denying anoamlous access requests.
wolfSSL/wolfsentry
wolfSSL Intrusion Detection and Prevention System (IDPS)
nadhirfr/rf-ids
Machine Learning Based - Intrusion Detection System
Western-OC2-Lab/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation
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 Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.
aleksibovellan/opnsense-suricata-nmaps
OPNSense's Suricata IDS/IPS Detection Rules Against NMAP Scans
nadhirfr/cic-ids-2018
CSE-CIC-IDS-2018 analyze with Random Forest
thereisnotime/Snort-Rules
Collection of Snort 2/3 rules.
the-vishal/Intrusion_Detection
Whenever founds internet connectivity confirms is it you, if not log you off and send you image of intruder.
vicky60629/Network-Intrusion-Detection-System
Network Intrusion Detection System
cyril/aoandon.rb
Aoandon (青行燈) is a minimalist network intrusion detection system (NIDS).
clong/vagrant-ids
An Ubuntu 16.04 build containing Suricata, PulledPork, Bro, and Splunk
vvsotnikov/LSTM-IDS
Network data classifier based on the recurrent neural network.
CactiLab/code-xNIDS
source code for USENIX Security paper xNIDS
HoangNV2001/Real-time-IDS
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) for anomaly detection.
jayluxferro/IoT-IDS
Intrusion Detection System for IoT Devices