APPLIED ML · DDoS DEFENCE
DDoS detection.
Built for the real world.
I develop statistical and machine-learning detection with production engineering teams. This research has led to multiple patent applications.
INTERNET SECURITY · APPLIED ML
BERLIN CETI am Marcin Nawrocki Freiherr von Enzberg. I combine Internet measurement, DDoS security, and applied machine learning to understand threats and build systems that protect critical networks.
At NETSCOUT, I develop ML-based DDoS detection for core and transit networks, informed by threat intelligence covering roughly half of global Internet traffic.
APPLIED ML · DDoS DEFENCE
I develop statistical and machine-learning detection with production engineering teams. This research has led to multiple patent applications.
INTERNET RESEARCH · RESILIENCE
I study attacks, protocols, and protective mechanisms in deployed networks. I publish and review research at leading Internet measurement and security conferences.
02 / SELECTED PUBLICATIONS
Bringing industry and academic observations together to examine what different vantage points can tell us about DDoS trends.
Read full paper ↗Why certificate deployment choices can undermine QUIC’s promise of fast, secure connections; and what operators can change.
Read full paper ↗Combining Internet exchange and honeypot observations to map DNS amplification attacks, identify blind spots and reveal how attackers exploit reflection infrastructure.
Read full paper ↗Testing whether a widely deployed DDoS mitigation mechanism behaves as expected in an operational Internet exchange.
Read full paper ↗What is the full picture,
and where are its blind spots?
Which decisions does
the evidence justify?
How do we turn findings
into proven protection?
03 / MISSION & BACKGROUND
I want an Internet that stays resilient, open and decentralized, where critical infrastructure remains accessible and no single party has to control it all.
I turn complex Internet data into trustworthy, actionable evidence. I believe protection should be measurable, decisions should be explainable, and failed assumptions should lead to better systems.
For me, integrity means validating what works, describing the limits and changing course when the evidence demands it.
Applied ML and threat intelligence, developed alongside Arbor Sightline engineering teams.
DDoS Attacks: Coverage, Mitigation, and Prevention. Supervised by Matthias Wählisch; assessed by Thomas C. Schmidt and KC Claffy.
Research on TLS certificate choices and QUIC performance.
Reviewer for top-tier conferences, including ACM IMC and ACM CCS.
LET’S CONNECT