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