Building and deploying classifiers with Airflow and Docker
Classifying fake online stores within .nz InternetNZ is helping New Zealanders to harness the power of the Internet by ensuring that .nz is a safe place »
DNS Flag day, the aftermath
Back in October 2018 we blogged about the upcoming DNS Flag Day, and how it could potentially affect .nz domains. As InternetNZ regularly tested .nz domains »
Improving data workflows with Airflow and PySpark
Within the Technical Research team, we have developed many data workflows in a variety of projects. These workflows normally need to run on a schedule, contain »
Detecting resolvers at .nz
This is a follow-up post to summarise the work of resolver detection presented at DNS-OARC 29. We built a classifier that can tell, with certain probability, »
DNS Flag day
In this blog post, we introduce the upcoming "DNS Flag day", how it will affect .nz domains and how .nz compares to other ccTLDs. »
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 »