ATMSim: An anomaly teletraffic detection measurement analysis simulator |
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| Affiliation: | 1. Department of Advanced Application Environment Development, National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information, Daejeon, South Korea;2. Department of Computer Software, Korean Bible University, Seoul, South Korea;1. Princeton Plasma Physics Laboratory, PO Box 45, Princeton, NJ 08543-0451, USA;2. General Atomics, P.O. Box 85608, San Diego, CA 92186-5608, USA;3. University of Texas, Austin, TX 78712, USA;4. Princeton University, Princeton, NJ 08544, USA;1. Department of Nuclear Engineering, Seoul National University, Seoul, Republic of Korea;2. ITER Organization, Route de Vinon sur Verdon, 13067 St Paul lez Durance, France;1. CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France;2. CEA, DEN/DER, F-13108 Saint-Paul-lez-Durance, France;3. CIEMAT, Avda. Complutense, 40, Madrid 28040, Spain;4. Greenlight Solutions S.L., San Bernardo 20-1, Madrid 28015, Spain;5. Bertin Technologies, 55 rue Louis-Armand, CS 30495, 13593 Aix-en-Provence Cedex 3, France;6. ITER Organization, Route de Vinon sur Verdon, CS 90 046, 13067 Saint-Paul-lez-Durance Cedex, France;7. F4E, Josep Pla 2, Torres Diagonal Litoral B3, 08019 Barcelona, Spain;1. Department of Nuclear Engineering, Seoul National University, Seoul, South Korea;2. Max-Planck-Institut für Plasmaphysik, EURATOM Association, Garching bei München, Germany;3. Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasam Center (SPC), CH-1015 Lausanne, Switzerland;4. Department of Applied Physics and Applied Mathematics, Columbia University, New York, USA;5. National Fusion Research Institute, Daejeon, South Korea;1. Department of Nuclear Engineering, Seoul National University, Seoul, Republic of Korea;2. Max-Planck-Institut fuer Plasmaphysik, EURATOM Association, Garching bei München, Germany;3. Department of Applied Physics and Applied Mathematics, Columbia University, New York, USA;4. National Fusion Research Institute, Daejeon, Republic of Korea |
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| Abstract: | 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 traffic. |
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| Keywords: | Anomaly teletraffic detection Simulator Stochastic self-similarity Hurst parameter Hadoop |
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