DNS, Identity, and Internet Naming for Experimentation and Research (DIINER) is a project designed to support new new research in Internet naming and trust. Our goal is to support research and ease transition from research to operational deployment, while preserving stability.
To meet this goal, we seek to unite researchers in Internet naming and identification around a new, shared research infrastructure providing:
Parallel DNS Resolution Evaluation to support safe testing of experiments within live, real-world deployed DNS,
A live instrumentation and measurement framework to share real-world DNS query and performance data with responsibility supported by technical and legal methods.
We hope to foster a collaborative research community with feedback between academia and real-world operations.
DIINER will leverage USC’s B-Root root DNS server and our background in privacy-aware sharing of network data.
We plan to release our tools as open source and support “research-infrastructure-as-service”
DIINER is supported by NSF/CISE as a CISE Community Research Infrastructure award award CNS-1925737, and it leverages B-Root with support from USC.
DIINER participates as part of the NSF CC* program and the CCRI-VO.
DIINER supports testbed access to live data streams and replay of prior events or synthetic traffic. Please see our testbed documentation and contact us for account access.
DIINER also distributes anonymized DNS datasets of B-Root traffic, including DITL (48-hour captures), a 2019 and 2021 week-long capture, and curated datasets of specific DDoS events.
Please contact us via e-mail to diiner-ops at ant.isi.edu or visit our DIINER web page.
As part of DIINER we are exploring DNS-over-TCP, DNS-over-TLS, DNS-over-HTTPS, and cloud-hosted DNS. We will report these results here as they come up.
For related publications, please see the ANT publications web page.
We have hosted DINR, the DNS and Internet Naming Research Directions workshop:
See also the see the ANT distribution web page.
We make all datasets available through our dataset page.