DNS abuse & domain intelligence
Measuring malicious registrations, compromised websites, TLD and registrar-level abuse, WHOIS/RDAP signals, TLS certificates, and hosting infrastructure.
I am a Professor of Computer Science at Grenoble INP–Ensimag, a member of the Drakkar team at the Grenoble Computer Science Laboratory, and a Junior member of the Institut Universitaire de France (IUF), Innovation Chair. My research focuses on cybersecurity and Internet measurement. My work turns large-scale Internet measurements into actionable intelligence for defending the DNS, disrupting phishing infrastructure, and improving the security incentives of Internet intermediaries.
About
I received my Ph.D. in Computer Science from Université Grenoble Alpes and my HDR in 2021 with the dissertation Traffic Measurements and Data Analysis for DNS Security. Before joining Ensimag, I was a postdoctoral researcher at Rutgers University and TU Delft, where I worked on distributed anomaly detection and the economics of cybersecurity.
Since 2017, I have been affiliated with Grenoble INP–Ensimag and LIG/Drakkar. I became Professor of Computer Science in 2024. I also co-founded KOR Labs Cybersecurity, a university spin-off focused on operational threat intelligence and coordinated mitigation of Internet abuse.
Research
I work at the intersection of cybersecurity, Internet measurement, data science, and Internet governance.
Measuring malicious registrations, compromised websites, TLD and registrar-level abuse, WHOIS/RDAP signals, TLS certificates, and hosting infrastructure.
Building datasets and methods to detect, classify, and mitigate phishing campaigns, botnet domains, URL-shortener abuse, and deceptive brand infrastructure.
Studying DNSSEC validation, dynamic DNS updates, source address validation, email anti-spoofing, IPFS abuse, and resilient blocklist/whitelist construction.
Designing adaptive, auditable AI-assisted cyber-defence workflows that combine autonomous agents with human oversight and operational constraints.
Innovation & transfer
My IUF project, Human-Governed Autonomous AI Agents for Adaptive Cyber Defence, investigates how autonomous AI agents can support cyber-defence while remaining accountable, human-governed, and aligned with operational reality.
KOR Labs is a university spin-off co-founded in 2021 with Andrzej Duda. It develops real-time cyber-threat intelligence for registries, CERTs, enterprises, and the broader Internet community.
The INFERMAL project studies why attackers prefer certain domain-registration ecosystems and how policies, prices, proactive checks, and reactive practices can reduce phishing-domain abuse.
I represent Université Grenoble Alpes at Europol’s Advisory Group on Research & Development and participate in Internet infrastructure and anti-abuse communities where research results can inform operational practice.
Yevheniya Nosyk, Simon Fernandez, Andrzej Duda, Maciej Korczyński, ACM Internet Measurement Conference (IMC 2026).
Victor Le Pochat, Simon Fernandez, Samaneh Tajalizadehkhoob, Lieven Desmet, Andrzej Duda, Wouter Joosen, Maciej Korczyński, IEEE Transactions on Network and Service Management (2026)
Yevheniya Nosyk, Andrzej Duda, Maciej Korczyński, ACM/IRTF Applied Networking Research Workshop (ANRW 2026).
Anas Kastantin, Leonhard Balduf, Onur Ascigil, Saidu Sokoto, Björn Scheuermann, Andrzej Duda, Michał Król, Maciej Korczyński, The Web Conference (WWW 2026): 2626–2636.
Yevheniya Nosyk, Maciej Korczyński, Carlos Gañán, Sourena Maroofi, Jan Bayer, Zul Odgerel, Samaneh Tajalizadehkhoob, Andrzej Duda, ACM Conference on Computer and Communications Security (CCS 2025): 618–632.
Zul Odgerel, Yevheniya Nosyk, Jan Bayer, Sourena Maroofi, Louis Bedeschi, Andrzej Duda, Maciej Korczyński, Symposium on Electronic Crime Research (eCrime 2025): 1–13.
Youssef Abyaa, Olivier Hureau, Andrzej Duda, Maciej Korczyński, Workshop on Traffic Measurements for Cybersecurity (WTMC 2025).
Teaching
I teach and coordinate courses in cybersecurity, network security, security engineering, advanced networks and security, and information security. My courses combine fundamentals with hands-on labs, realistic case studies, paper discussions, and research-oriented projects.
Students & supervision
I am interested in strong students who want to work on DNS abuse, phishing infrastructure, Internet measurements, graph learning, and AI-assisted cyber defence.
Projects typically combine measurement, careful dataset construction, reproducible analysis, responsible disclosure, and engagement with operational communities.
News
I am co-organizing the 11th International Workshop on Traffic Measurements for Cybersecurity, held with ACM CCS 2026 in The Hague. The paper submission deadline is July 13, 2026 (AoE).
Congratulations to Yevheniya Nosyk and co-authors. Recent work includes The Illusion of DDR Deployment at ANRW 2026 and Securing the Missing Link at IMC 2026.
The IUF appointment supports the 2026–2031 project on human-governed autonomous AI agents for adaptive cyber defence.
Congratulations to Anas Kastantin and co-authors. Netting Phish in the IPFS Ocean studies real-time monitoring and characterization of decentralized phishing campaigns.
I presented research from the INFERMAL project on malicious domain registrations and the factors that shape phishing abuse.
Congratulations to Zul Odgerel and co-authors. Short Path to Phishing studies misused URL shortening services in the wild.
Congratulations to Yevheniya Nosyk and co-authors. Exposing the Roots of DNS Abuse studies factors behind phishing-domain registrations and their implications for anti-abuse practices.
I presented INFERMAL at CENTR Jamboree and in an ICANN webinar, continuing the discussion on evidence-based anti-abuse policy.
I continue my work with the Drakkar team at LIG on Internet measurement, domain abuse, and operational cybersecurity.
Congratulations to Victor Le Pochat and co-authors. The TMA 2024 paper on passive-DNS-based domain rankings received the Community Contribution Award and was extended for IEEE TNSM.
Congratulations to Simon Fernandez and Olivier Hureau. Our WHOIS/RDAP paper received the PAM Best Community Dataset Award, and the DMARC paper was nominated for the PAM Best Paper Award.
Congratulations to Yevheniya Nosyk. Our ACM IMC 2023 paper on Extended DNS Errors received the Applied Networking Research Prize in 2024.
Contact
Email: maciej [dot] korczynski [at] univ-grenoble-alpes [dot] fr
Office: IMAG building, 700 avenue Centrale, Saint-Martin-d’Hères, France
Affiliations: Grenoble INP–Ensimag · Université Grenoble Alpes · LIG / Drakkar · KOR Labs Cybersecurity
PGP key ID: 1BDA32F6