Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.

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.

OPNSense's Suricata IDS/IPS Detection Rules Against NMAP Scans

Deepfence Runtime API & code samples

Collection of Snort 2/3 rules.

Nitpicked version of CyberPanel with new features focusing on Security, Stability and Reliability only.

CloudDog is a centralized EDR and WAF, it is able to identify and prevent web application attacks, ssh bruteforce and Suspicious shell commands.

The IDS Analysis Project

Suricata config to apply IDPS mode on Ubuntu 18.04 LTS

A simple intrusion detection/prevention system framework written in PHP.

Fail2ban for Windows with support for RDP, MSSQL, OpenSSH, and tcpoverudp2 events. It blocks IP addresses where repeated failed access events originate from.

My personal research repository for a Master Degree in Computer Technology @ University of Computer Studies, Mandalay (UCSM).

DNSSEC Application in Terms of Cyber Security and Social Engineering: Sedres / Bachelor's Degree Thesis, Yeditepe University - 2021

CF Tunnel Gate is a secure Reverse Proxy, Web Application Firewall (WAF), and Intrusion Prevention System(WAF), designed for self-hosted projects and backed with Cloudflare Tunnels.

This intrusion detection application leverages C++ with OpenCV and NCNN for real-time computer vision. It monitors live camera feeds, enabling users to define areas of interest. Upon detecting unauthorized access, the system triggers alarms, facilitating rapid security responses.

Signature-based IDS/IPS for home networks

[WIP] A PoC of an intrusion prevention system making use of KVM, libvirt, and QEMU.

Snort Rule Based Network Intrusion Prevention System Developed using Python.

Detection of covert channel in the network using machine learning.

Detection of covert channel in the network using machine learning.