DocumentCode :
736805
Title :
Application Research on Network Security Based on Feature Matching Technology
Author :
Ping, Teng
fYear :
2015
fDate :
13-14 June 2015
Firstpage :
202
Lastpage :
205
Abstract :
This paper introduces the basis deep packet inspection technology, studies data filtering technology, stream filter technology and intrusion prevention system. Then it further puts forward a string matching-based deep packet inspection model, explains framework structure of model and its various parts design in detail and analyzes key parts affecting packet detection performance. We study relevant string matching algorithm. After it analyzes classical BM algorithm and standard BF algorithm, this paper proposes an improved BF string matching algorithm. Finally, based on open source IDS system Snort, this paper performs comparison analysis on BM, BF and its improved algorithm on matching speed and memory occupation. The results prove that the improved project is superior to traditional BM algorithm on matching speed or memory occupation based on certain scale of rule set.
Keywords :
Algorithm design and analysis; Analytical models; Communication networks; Computers; Intrusion detection; Pattern matching; BM algorithm; IDS; Snort; in-depth packet detection; pattern matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
Type :
conf
DOI :
10.1109/ICMTMA.2015.56
Filename :
7263547
Link To Document :
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