Speaker
Mr
Sebastian Castro
(NZRS)
Description
From data collected at the authoritative side and with machine learning algorithms in our side, we embark in the effort to see if we can identify traffic patterns matching known resolver addresses.
Summary
Using the data available for .nz and with supervised and unsupervised classification, we can identify known resolver addresses in 98 to 99% of the cases using different days. This could provide an effective way to whitelist addresses, apply specific policies or any other uses.
| Talk duration | 30 Minutes |
|---|
Primary authors
Mrs
Jing Qiao
(NZRS)
Mr
Sebastian Castro
(NZRS)
