Domain popularity across countries
As the DNS operator of .nz, we manage 4 of the 7 .nz nameservers ourselves and we've been collecting their DNS traffic. The other 3 are »
Source Address Classification - Clustering
My previous post "Source Address Classification - Feature Engineering" introduced the background of the source address classification problem and a critical part of the »
Analysis of registrations from registrant point of view
This is a follow-up post on registrant classification. Before reading this post, make sure to check out Registrant Classification using Machine Learning. In the last post, »
.nz is joining fellow domain industry leaders at GDD Industry Summit
I’m currently attending the ICANN organisation’s Global Domains Divison (GDD) Industry Summit being held in Vancouver, Canada. Arriving to warm weather, soaring mountains and »
Source Address Classification - Feature Engineering
Problem background As we operate the authoritative name servers for the .nz ccTLD (Country Code Top Level Domain), we observe more than 500k unique source addresses »
Registrant Classification using Machine Learning
An important task in text data mining is text classification/categorisation. The objective, is to start with a training set of documents (e.g. newspaper articles) »
Registrar Size Prediction
An interesting request we received after the register size prediction presentation at the Registrar Conference earlier last year, was a suggestion of applying similar methodology on »
Scanning .nz for HTTPS support
As part of our efforts to understand the .nz namespace better, we started at the beginning of 2017 to check domains for the presence of a »
.nz DNS traffic: Trend and Anomalies
As we run the .nz ccTLD (Country Code Top Level Domain) authoritative nameservers, we receive lots of DNS queries and answer each query with a DNS »
Register Size Prediction
In my previous two posts, we've seen how to model domain retention prediction and new creates forecasting. Those are essential model components required for a register »
Resolver centricity experiment
The Domain Name System is a distributed database with a hierarchical structure. A complete DNS resolution is a time-consuming process composed of iterations of network communications »
Domain Retention Prediction
Customer-base analysis has become increasingly important. A critical part of the analysis is the prediction of retention rate, which is defined as the proportion of customers »
Time Series Analysis of .nz Activity Data
The number of new domain creations is an important indicator of the registry activity. Using an appropriate method to predict the number of creations in the »
Observations from 4 years in the domain name industry.
So today marks my last day in the office as CMO for the .nz registry, NZRS. A bitter sweet day as a I reflect on my »
Characterization of popular resolvers from .nz authoritative name servers' point of view
As part of our role as .nz registry, we manage 4 out of 7 of the .nz authoritative name servers. We receive hundreds of millions of »