2009Journal of Henan University of Urban ConstructionRequires access

Research and improvement of BM-algorithm for pattern matching in Snort

Haoyang Du

Open publisher page 1 citations

Abstract

With increasingly serious security problem,Snort Intrusion Detection System,with its own characteristics to make up for effective security measures to protect the traditional shortcomings of computers and networks has become an important part of security.Pattern matching algorithm is based on the characteristics of the intrusion detection system to match the core algorithm,the efficiency of pattern matching intrusion detection system such performance.First of all,the detail of the Snort Intrusion Detection System BM pattern matching algorithm,on the basis of an improved BM algorithm repeated suffix circumstances more effectively to accelerate the speed of pattern matching in order to improve the efficiency of intrusion detection.

About this research paper

What this paper is about

With increasingly serious security problem,Snort Intrusion Detection System,with its own characteristics to make up for effective security measures to protect the traditional shortcomings of computers and networks has become an important part of security.Pattern matching algorithm is based on the characteristics of the intrusion detection system to match the core algorithm,the efficiency of pattern matching intrusion detection system such performance.First of all,the detail of the Snort Intrusion Detection System BM pattern matching algorithm,on the basis of an improved BM algorithm repeated suffix circumstances more effectively to accelerate the speed of pattern matching in order to improve the efficiency of intrusion detection.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

With increasingly serious security problem,Snort Intrusion Detection System,with its own characteristics to make up for effective security measures to protect the traditional shortcomings of computers and networks has become an important part of security.Pattern matching algorithm is based on the characteristics of the intrusion detection system to match the core algorithm,the efficiency of pattern matching intrusion detection system such performance.First of all,the detail of the Snort Intrusion Detection System BM pattern matching algorithm,on the basis of an improved BM algorithm repeated suffix circumstances more effectively to accelerate the speed of pattern matching in order to improve the efficiency of intrusion detection.

Key concepts: Intrusion detection system, String searching algorithm, Computer science, Pattern matching, Matching (statistics), Data mining, Algorithm, Blossom algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Research and improvement of BM-algorithm for pattern matching in Snort — Research Paper | ScholarLens