Title :
Using internet traffic self-similarity for detection of network anomalies
Author :
Dobrescu, R. ; Dobrescu, M. ; Hossu, D. ; Taralunga, S.
Author_Institution :
Fac. of Control & Comput., Politeh. Univ. of Bucharest, Bucharest
Abstract :
The goal of this paper is to prove by simulations in an virtual environment the potential of fractal analysis techniques in evaluation of network characteristics, especially in detection of anomalies. In this aim there are proposed several original research results: an Internet model based on scale free network graphs, a method to reveal self-similarities in generated traffic, a method to compare the behavior of two sub-networks and a powerful experimental test-bed which allows parallel processing running pdns (parallel/distributed network simulator) package on different sub-networks having scale free topology.
Keywords :
Internet; fractals; graph theory; network theory (graphs); performance evaluation; telecommunication traffic; Internet traffic self-similarity; fractal analysis techniques; network anomalies detection; network characteristics evaluation; scale free network graphs; Analytical models; Automatic testing; Distributed power generation; Fractals; IP networks; Parallel processing; Power generation; Telecommunication traffic; Traffic control; Virtual environment;
Conference_Titel :
Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on
Conference_Location :
Brasov
Print_ISBN :
978-1-4244-1544-1
Electronic_ISBN :
978-1-4244-1545-8
DOI :
10.1109/OPTIM.2008.4602461
