Demo Data from EDBT 2026 / reviewers in the wild / expert
Anna Ascheman
dblp:331/5937
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Security and privacy · 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.
| Computer networks
2 papers |
Internet architecture and protocols · 62% Network measurement and analytics · 38% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols › layered network architecture
application-layer protocols |
0.8 | 1 | 2024 | Loopy Hell(ow): Infinite Traffic Loops at the Application Layer · USENIX Security Symposium 2024 |
Network measurement and analytics › internet measurement
DNS measurement |
0.6 | 1 | 2022 | ZDNS: a fast DNS toolkit for internet measurement · IMC 2022 |
Network security › attack strategy
denial-of-service attack |
0.2 | 1 | 2024 | Loopy Hell(ow): Infinite Traffic Loops at the Application Layer · USENIX Security Symposium 2024 |
Internet architecture and protocols
domain name system |
0.2 | 1 | 2022 | ZDNS: a fast DNS toolkit for internet measurement · IMC 2022 |
Methods — techniques the papers use, named apart from their topics
protocol analysis · 1.5active measurement · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Loopy Hell(ow): Infinite Traffic Loops at the Application Layer
Yepeng Pan, Anna Ascheman, Christian Rossow |
USENIX Security Symposium | 2 |
| 2022 | ZDNS: a fast DNS toolkit for internet measurementabstractActive DNS measurement is fundamental to understanding and improving the DNS ecosystem. However, the absence of an extensible, high-performance, and easy-to-use DNS toolkit has limited both the reproducibility and coverage of DNS research. In this paper, we introduce ZDNS, a modular and open-source active DNS measurement framework optimized for large-scale research studies of DNS on the public Internet. We describe ZDNS's architecture, evaluate its performance, and present two case studies that highlight how the tool can be used to shed light on the operational complexities of DNS. We hope that ZDNS will enable researchers to better---and in a more reproducible manner---understand Internet behavior. Liz Izhikevich, Gautam Akiwate, Briana Berger, Spencer Drakontaidis, Anna Ascheman, Paul Pearce, David Adrian, Zakir Durumeric |
IMC | 5 |