Mining Association Rules Consisting of Download Servers from Distributed Honeypot Observation
Masayuki Ohrui, Hiroaki Kikuchi, Masato Terada · 2010
This paper aims to find interested association rules, known as data mining technique, out of the dataset of downloading logs by focusing on the coordinated activity among downloading servers. The result of the analysis shows the association rules of the downloading servers and that of the malwares.