Demo Data from VLDB 2026 / reviewers in the wild / expert
Nathan Craddock
dblp:419/9485
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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
1 paper |
Internet architecture and protocols · 100% | |
| Network and information security
1 paper |
Privacy and data protection · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols
domain name system |
0.9 | 1 | 2025 | Modeling DNS Queries and Caching to Evaluate the Merits of QNAME Minimization · ICNP 2025 |
Privacy and data protection
privacy-preserving data analysis |
0.9 | 1 | 2025 | Modeling DNS Queries and Caching to Evaluate the Merits of QNAME Minimization · ICNP 2025 |
Internet architecture and protocols › domain name system
DNS caching |
0.3 | 1 | 2025 | Modeling DNS Queries and Caching to Evaluate the Merits of QNAME Minimization · ICNP 2025 |
Methods — techniques the papers use, named apart from their topics
query modeling · 1.7information leakage quantification · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Modeling DNS Queries and Caching to Evaluate the Merits of QNAME MinimizationabstractQNAME minimization is an extension to the DNS protocol, designed to allow DNS resolvers to prevent disclosure of DNS activity beyond that which is necessary for resolution. Since it was originally proposed in 2014, QNAME minimization has been incorporated into most of the well-known DNS resolvers. But the question remains: how effective is QNAME minimization at preserving privacy in practice? We answer that question by creating a model that defines DNS privacy roles and quantifies information leakage to third parties. We apply that model to DNS query data from a large university. We observe that QNAME minimization adds modest privacy gains and suggest that its benefits be considered alongside its costs. Casey T. Deccio, Nathaniel Bennett, Nathan Craddock |
ICNP | 4 |