NDLI: A survey of pattern matching algorithm in intrusion detection system

Content Provider	IEEE Xplore Digital Library
Author	Gharaee, Hossein Seifi, Shokoufeh Monsefan, Nima
Copyright Year	2014
Description	Author affiliation: IRAN Telecom Research Center (ITRC) Tehran, Iran (Gharaee, Hossein) \|\| Department of Computer Engineering, University Of Tehran Kish International Campus, Tehran, Iran (Seifi, Shokoufeh; Monsefan, Nima)
Abstract	The most common method of IDS functioning is based on pattern matching which recognizes the vandalism occurring on the network using particular patterns and rules. In order to do so, normal behaviors of the network are modeled and then used as a base pattern for recognizing abnormal behavior of the network. The article, in hand, tries to recognize and choose the best algorithms for this operation by surveying, implementing and also collecting all kinds of pattern matching methods so that the best conclusion is reached during matching known attacks with main patterns. In this paper, to collect all algorithms related to the subject, we investigated the discussion of pattern compatibility operation from different aspects. Another aspect studied in this paper is to determine the indexes for grouping the algorithms, meaning the algorithms were classified based on important indexes which more effect on the performance of pattern compatibility operations.
Starting Page	946
Ending Page	953
File Size	347249
Page Count	8
File Format	PDF
e-ISBN	9781479953592
DOI	10.1109/ISTEL.2014.7000839
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-09
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Search algorithms Clustering algorithms Intrusion detection Classification algorithms Indexes Time complexity Pattern matching Intrusion detection systems
Content Type	Text
Resource Type	Article

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