Sebastian is a malware researcher and security teacher with extensive machine learning experience applied to network traffic. He created the Stratosphere IPS project, a machine learning-based, free software IPS to protect civil society. He likes to analyze network patterns and attacks with machine learning.
As a researcher in the AIC group of Czech Technical University in Prague, he believes that free software and machine learning tools can help better protect users from abuse of their digital rights. He has been teaching in several countries and Universities and working on penetration testing for both corporations and governments.
He was lucky enough to talk in Ekoparty, DeepSec, Hacktivity, Botconf, Hacklu, InBot, SecuritySessions, ECAI, CitizenLab, ArgenCor, Free Software Foundation Europe, Virus Bulletin, BSides Vienna, HITB Singapore, CACIC, etc. As a co-founder of the MatesLab hackspace, he is a free software advocate that worked on honeypots, malware detection, distributed scanning (dnmap) keystroke dynamics, Bluetooth analysis, privacy protection, intruder detection, robotics, microphone detection with SDR (Salamandra), and biohacking.