Unmanarc's Auditd Analyzer

Zercurity Python API

Worked on three use cases- Churn data analysis, Movie recommendation engine and Intrusion detection system.

Командный проект на тему "Методы машинного обучения для обнаружения вторжений в сетях интернета вещей" в рамках курса "Введение в искусственные нейронные сети" магистратуры НИТУ МИСИС

Subvert detection by IDS/IPS rule sets when conducting web application and MiTB attacks, etc.

The code to train and test models.

Simple IPS to automatically block hosts performing automated attacks in the local firewall.

Request/Write commands to a Xiaomi Gateway Aqara via UDP and encrypted key in c. Prototype to develop an alarm ringing and light blinking when input gpio change state as there is an intrusion !

Near real-time intrusion detection for blacklisting

Ranomware monitor and alert service with inotifywait.

A predictive model capable of distinguishing between bad connections and good connections using machine learning.

SELID: Selective Event Labeling for Intrusion Detection Datasets

The aim of this project is to apply unsupervised machine learning to perform intrusion analysis and detection on a network traffic dataset. The data set was first cleaned and processed, and PCA was applied for dimensionality reduction, then we implemented KMeans algorithm to perform data clustering and analysis.

Intrusion Detection on DARPA by using Multi-layer Perceptron

Get to know, who access your data.

Snort test rules for certain threats

Performance Evaluation of Supervised Machine Learning Algorithms for Intrusion Detection

An animal intrusion detection mechanism for CSD513 course mini project

Automatically profile your network, building a packet-filter of common known-good traffic. Useful for IDS filtering and network monitoring.

Explanation of research paper ( A Framework for the Application of Association Rule Mining in Large Intrusion Detection )