An Analysis of the Korea National DNS Using Big Data Technology

The DNS (Domain Name System) log contains useful information in terms of industry and society because it represents the host access information of Internet use. However, the DNS log analysis has not been studied except in the area of security until now because the size of the DNS logs is too huge and the logs are scattered in world-wide distributed servers. To resolve these issues, we propose the Localized Big Data Analysis (LBDA) with which data mining techniques are applied to the DNS log. We also perform an experiment using the real logs of the Korea national DNS servers and the result proved the validity of the LBDA. Using the LBDA, the DNS log is used to extract a lot of meaningful information for data-based decision-making by the government and enterprises.