Vermont (VERsatile MONitoring Toolkit) is a modular network monitoring toolkit. Its main purpose is the processing of network flow data (as exporter and collector). With the help of Ntop's Pf_ring library it can handle packet rates up to 10Gbit/s.

Bachelor's Degree in Information and Communications Engineering - Final Dissertation - A.Y. 2020/21 🎓

This is a small Raspberry-Pi enabled Object detection and alarming system.

This script employs a cron-scheduled Bash shell routine to monitor for potential system intrusions during low-activity periods. Upon detecting suspicious activity, it leverages the Way2SMS SMS API to send real-time alert notifications to designated personnel.

SC-MLIDS: A Hybrid Machine Learning Intrusion Detection System Framework with Integrated Server and Client Models for Wireless Sensor Networks

An implementation of ConfigMapTemplate in support of running Bro under Kubernetes. https://www.ixiacom.com/company/blog/threat-hunting-%C2%A0scale-part-one-series

smtp-nel-filter is a smtp intrusion detection system which was developed by Network Event Language.

A powerful tool for detecting abnormal behaviours in network traffic by using unsupervised Isolation Forest algorithm.

hobby project. some kind of honeypot idk, open some ports, log and ban ip addresses

This project focuses on utilising external adversary nodes with passive listening to accurately detect IDS positions in Underwater Acoustic Networks (UWANs), while mapping network topology and identifying potential blind spots for strategic vulnerability exploitation.

Intrusion Detection System Using Incremental Learning Method with Naive Bayes

SeaSentinel: An Intrusion Detection System (IDS) designed to enhance the security of GMDSS maritime communications, monitoring for unauthorized access and anomalies.

Robust Hosting with Advanced Security: Successfully hosted a secure website on AWS, implementing robust security measures including firewalls, IDS, MFA, and safeguards against SQL injection and XSS.

We designed an IoT based intrusion detection system using ALMA, which is an online machine learning algorithm.

Several deep open set intrusion detection models evaluated on various datasets.

Assembly Language Programming

Android App

Autonomous robot, built on RaspberryPi which detects any human faces intruding on private property using OpenCV

An Intrusion Detection System leveraging Python and machine learning techniques, specifically KNN and Decision Trees, effectively identifying and mitigating security threats in real-time network environments.

MininetIDS is an integrated environment for developing and evaluating Machine Learning-based Intrusion Detection Systems in Software-Defined Networks. It combines Mininet for network emulation and Ryu for SDN control, enabling advanced IDS research and deployment.