Title :
Mining Association Rules Consisting of Download Servers from Distributed Honeypot Observation
Author :
Ohrui, Masayuki ; Kikuchi, Hiroaki ; Terada, Masato
Author_Institution :
Dept. of Inf. Sci. & Technol., Tokai Univ., Hiratsuka, Japan
Abstract :
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.
Keywords :
data mining; file servers; invasive software; association rule mining; data mining technique; distributed honeypot observation; download servers; malwares; Association rules; Correlation; Grippers; IP networks; Malware; Servers; Association Rules; Botnets; Coordinated Attack; Malware; Sequential Pattern;
Conference_Titel :
Network-Based Information Systems (NBiS), 2010 13th International Conference on
Conference_Location :
Takayama
Print_ISBN :
978-1-4244-8053-1
Electronic_ISBN :
2157-0418
DOI :
10.1109/NBiS.2010.73
