作者: Euihyun Jung , Joonhyung Lim , Juyoung Kim
DOI: 10.1007/978-94-017-8798-7_71
关键词:
摘要: The DNS (Domain Name System) log contains useful information in terms of industry and society because it represents the host access Internet use. However, analysis has not been studied except area security until now size logs is too huge are scattered world-wide distributed servers. To resolve these issues, we propose Localized Big Data Analysis (LBDA) with which data mining techniques applied to log. We also perform an experiment using real Korea national servers result proved validity LBDA. Using LBDA, used extract a lot meaningful for data-based decision-making by government enterprises.