Network Traffic Analyzer

Please enable javascript in your browser.

Silavi, Ehsan | 2012

554 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43932 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Jahangir, Amir Hossein
Abstract:
In order to increase the network performance, to discover network security threats, to guarantee the quality of services, to simulate networks and develop new network protocols, network designers and operators need software tools to analyze the network traffic. The first step to do this analysis is network monitoring. This can be done by using various software and hardware tools.
In this research we developed a tool which analyzes the network traffic using appropriate statistical methods. The models which are analyzed in this application are: Poisson, Self-similar and Weibull. This application analyzes the network traffic based on this statistical models and calculates their parameters.
The results show that the Poisson model is not an appropriate model for the network traffic but the self-similarity of the traffic is remarkable. Also the Weibull model is such well to SYN packets in the network traffic
Keywords:
Traffic Analysis ; Modeling ; Poisson Distribution ; Weibull Distribution ; Self-Similarity

No TOC