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ATMSim: An Anomaly Teletraffic Detection Measurement Analysis Simulator
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Over the last few years, the quantity of teletraffic is rapidly growing because
of the explosive increase of Internet users and its applications. The needs
of collection, storage, management, analysis, and measurement of the subsequent
teletraffic have emerged as some of the very important issues. To this
point many studies for detecting anomaly teletraffic have been done. Detection,
measurement, and analysis studies for traffic data, however, are not
actively being made based on Hadoop. In this paper, some problems and solutions
for those systems have been suggested. We have also designed and developed
an Anomaly Teletraffic detection Measurement analysis Simulator,
called the ATMSim. One strong point of the ATMSim is able to store,
measure, and analyze traffic data for detecting anomaly teletraffic. The
other strength is to generate sequences of input synthetic anomaly teletraffic
with various network attacks for practical network security applications. All
simulations were executed under the control of the ATMSim simulator to investigate
how input anomaly teletraffic with network attacks can be different
from real Ethernet local area network (LAN) traffic. Our numerical results show that the values of the estimated Hurst parameter obtained from the
anomaly teletraffic are much higher when compared to real Ethernet LAN
Anomaly teletraffic detection; Simulator; Stochastic self-similarity; Hurst parameter; Hadoop
Journal Title
Simulation modelling practice & theory
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