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Anna Ascheman

dblp:331/5937 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Internet architecture and protocols › layered network architecture
application-layer protocols
0.812024
Loopy Hell(ow): Infinite Traffic Loops at the Application Layer · USENIX Security Symposium 2024
Network measurement and analytics › internet measurement
DNS measurement
0.612022
ZDNS: a fast DNS toolkit for internet measurement · IMC 2022
Network security › attack strategy
denial-of-service attack
0.212024
Loopy Hell(ow): Infinite Traffic Loops at the Application Layer · USENIX Security Symposium 2024
Internet architecture and protocols
domain name system
0.212022
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
YearPublicationVenuePosition
2024 Loopy Hell(ow): Infinite Traffic Loops at the Application Layer
Yepeng Pan, Anna Ascheman, Christian Rossow
USENIX Security Symposium2
2022 ZDNS: a fast DNS toolkit for internet measurement
abstract
Active 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
IMC5