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Balanced indexing method for efficient intrusion detection systems

Authors
Kang, BoojoongKim, Hye SeonYang, Ji SuIm, Eul Gyu
Issue Date
Nov-2012
Publisher
Springer Verlag
Keywords
Indexing; Intrusion Detection System; Network Security; Pattern Matching
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.7839 LNCS, pp.37 - 48
Indexed
SCOPUS
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
7839 LNCS
Start Page
37
End Page
48
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164263
DOI
10.1007/978-3-642-37682-5_4
ISSN
0302-9743
Abstract
To protect a network from malicious activities, intrusion detection systems can be used. Most of intrusion detection systems examine incoming packets with detection signatures to detect potential malicious packets. Because the portion of malicious packets is usually very small, it is not efficient to examine incoming packets with all signatures. In this paper, we propose a method that reduces the number of signatures to be examined and show the experimental results of our proposed method.
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