A Regression Method to Compare Network Data and Modeling Data Using Generalized Additive Model

Authors:
Sooyoung Chae;Hosub Lee;Jaeik Cho;Manhyun Jung;Jongin Lim;Jongsub Moon
Affiliations:
The Attached Institute of ETRI, Daejeon, Republic of Korea;Center for Information Security Technologies (CIST), Korea University, Seoul, Republic of Korea;Center for Information Security Technologies (CIST), Korea University, Seoul, Republic of Korea;Center for Information Security Technologies (CIST), Korea University, Seoul, Republic of Korea;Center for Information Security Technologies (CIST), Korea University, Seoul, Republic of Korea;Center for Information Security Technologies (CIST), Korea University, Seoul, Republic of Korea
Venue:
Information Security Applications
Year:
2009

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Abstract

This paper suggests a method to check whether the real network dataset and modeling dataset for real network has statistically similar characteristics. The method we adopt in this paper is a Generalized Additive Model. By using this method, we show how similar the MIT/LL Dataset and the KDD CUP 99' Dataset are regarding their characteristics. It provided reasonable outcome for us to confirm that MIT/LL Dataset and KDD Cup Dataset are not statistically similar.