Demo Data from EDBT 2026 / reviewers in the wild / expert
Maarten Bosteels
dblp:238/7623
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0000-2670-5234ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Security and privacy · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Web and mobile security · 55% Network security · 45% | |
| Computer networks
2 papers |
Network measurement and analytics · 74% Network management and operations · 26% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Web and mobile security
phishing |
1.6 | 2 | 2025 | RegCheck: A Real-Time Approach for Flagging Potentially Malicious Domain Name Registrations · KDD (2) 2025 Characterizing and Mitigating Phishing Attacks at ccTLD Scale · CCS 2024 |
Network security › protocol security › DNS security
malicious domain detection |
1.1 | 2 | 2025 | RegCheck: A Real-Time Approach for Flagging Potentially Malicious Domain Name Registrations · KDD (2) 2025 Characterizing and Mitigating Phishing Attacks at ccTLD Scale · CCS 2024 |
Network security › intrusion detection and prevention › intrusion detection
proactive detection |
0.9 | 1 | 2025 | RegCheck: A Real-Time Approach for Flagging Potentially Malicious Domain Name Registrations · KDD (2) 2025 |
Network measurement and analytics
web measurement |
0.8 | 1 | 2024 | Characterizing and Mitigating Phishing Attacks at ccTLD Scale · CCS 2024 |
Web and mobile security › phishing
phishing prevention |
0.8 | 1 | 2024 | Characterizing and Mitigating Phishing Attacks at ccTLD Scale · CCS 2024 |
Methods — techniques the papers use, named apart from their topics
machine learning classifier · 1.7measurement study · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | RegCheck: A Real-Time Approach for Flagging Potentially Malicious Domain Name RegistrationsabstractMiscreants use domain names for malicious purposes such as phishing websites or fake webshops. Reactive approaches such as blocklists play an important role in fighting such abuse but have limitations, namely that the domains are typically only included in such a list after abuse has been reported (e.g., there may already be some victims). We propose RegCheck, a system designed to proactively flag suspicious domains at registration time. The core of RegCheck is a machine learning classifier that assesses the risk that the domain name will be used for malicious purposes based on characteristics known at the time of registration. Based on this assessment, it flags some registrations and requires them to undergo additional verification prior to the domain name being activated. The system has been developed collaboratively between SIDN (.nl) and DNS Belgium (.be) and has been deployed as a real-time system at the .be registry since March 2024. Since its deployment, the registry has witnessed a decrease in the number of .be domain name registrations that have been revoked for breaching the terms and conditions, indicating a decline in the number of active malicious registrations. Thomas Daniels 0002, Maarten Bosteels, Pieter Robberechts, Jesse Davis |
KDD (2) | 2 |
| 2024 | Characterizing and Mitigating Phishing Attacks at ccTLD ScaleabstractInternational audience Giovane Cesar Moreira Moura, Thomas Daniels 0002, Maarten Bosteels, Sebastian Castro, Thymen Wabeke, Thijs van Den Hout, Maciej Korczynski, Georgios Smaragdakis |
CCS | 3 |