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Using Firefly and Genetic Metaheuristics for Anomaly Detection based on Network Flows

Authors:
Fadir Salmen
Paulo R. Galego Hernandes Jr.
Luiz F. Carvalho
Mario Lemes Proença Jr.

Keywords: Anomaly Detection; Traffic Monitoring; Network Management; Genetic Algorithm, Firefly Algorithm

Abstract:
Traffic monitoring is a challenging task which requires efficient ways to detect every deviation from the normal behavior on computer networks. In this paper, we present two models to detect network anomaly using flow data such as bits and packets per second based on: Firefly Algorithm and Genetic Algorithm. Both results were evaluated to measure their ability to detect network anomalies, and results were then compared. We experienced good results using data collected at the backbone of a university.

Pages: 113 to 118

Copyright: Copyright (c) IARIA, 2015

Publication date: June 21, 2015

Published in: conference

ISSN: 2308-4030

ISBN: 978-1-61208-411-4

Location: Brussels, Belgium

Dates: from June 21, 2015 to June 26, 2015