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Adversarial Heuristic Search Value Iteration
A web-based tool to assist the work of the intuitive threat analysts.
Emergency VPN manager
A short course on how to use Machine Learning for analyzing and detecting real malware traffic in the network from flows
Stratosphere IPS for Linux
Testing whether the presence of the honeypots influence the attacker's behaviors on the production ports.
This python scripts can calculate the WHOIS Similarity Distance between two given domains.
Apply Machine Learning and Game Theory to improve the security of the Turris network of CZ.NIC
Basic python templates for learning
The stratosphere testing framework is mean to help in the researching and verification of the behavioral models used by the Stratoshpere IPS.
uCollect plugin for measuring pkts/bytes in each port
Python code to implement the game theory strategy developed for Ludus
A machine learning HTTPs malware detector without decrypting the traffic.
A set of tools and templates to work with our datasets
Extract and summarises the suricata alerts in time windows, by port and src IP
These are the argus configuration files for sending flows to the Stratosphere Project
This is the C version of the StratosphereLinuxIPS. It is mainly used for integration with Snort and other IDSs.
A version of Stratosphere that works on HTTP logs.
The Stratosphere IPS is a free software IPS that uses network behavior to detect and block malicious actions.
A web interface for Stratosphere
This is a virtual machine that automatically runs the Argus program already configured to send the flows to the Stratosphere Project servers.
These are docker containers for running Argus preconfigured to send flows to the Stratosphere IPS project. There are images for Debian and for Raspberry Pi
Web page of the stratosphere IPS project