DocumentCode :
661237
Title :
Ant Colony Optimization for Creating Digital Signature of Network Segments Using Flow Analysis
Author :
Carvalho, Luiz F. ; Zacaron, Alexandro Marcelo ; Akihiko da Costa Adaniya, Mario Henrique ; Lemes Proenca, Mario
Author_Institution :
Comput. Sci. Dept., State Univ. of Londrina, Londrina, Brazil
fYear :
2012
fDate :
12-16 Nov. 2012
Firstpage :
171
Lastpage :
180
Abstract :
Digital Signature of Network Segment using Flow Analysis (DSNSF) can be classified as a traffic characterization of a network segment. This paper presents a model for signature creation using a clustering approach, enabling recognition patterns and characteristics in data sets. To avoid the problem of local optimal solutions, an improved Ant Colony Optimization metaheuristic is used, whose main features include low computational complexity and reliance on small number of input parameters.
Keywords :
ant colony optimisation; computational complexity; digital signatures; pattern clustering; DSNSF; ant colony optimization metaheuristic; clustering approach; computational complexity; data sets characteristics; digital signature of network segment using flow analysis; recognition patterns; signature creation; traffic characterization; Algorithm design and analysis; Ant colony optimization; Clustering algorithms; Digital signatures; Equations; Linear programming; Mathematical model; Ant Colony Optmization; Clustering; Network Management; Traffic Characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Chilean Computer Science Society (SCCC), 2012 31st International Conference of the
Conference_Location :
Valparaiso
ISSN :
1522-4902
Print_ISBN :
978-1-4799-2937-5
Type :
conf
DOI :
10.1109/SCCC.2012.27
Filename :
6694087
Link To Document :
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