• Title/Summary/Keyword: Outbound Traffic

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Modeling and Network Simulator Implementation for analyzing Slammer Worm Propagation Process (슬래머 웜 전파과정 분석을 위한 네트워크 모델링 및 시뮬레이터 구현)

  • Lim, Jae-Myung;Yoon, Chong-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.5B
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    • pp.277-285
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    • 2007
  • In this paper, we present a simulation model of Slammer worm propagation process which caused serious disruptions on Internet in the you of 2003 and analyze the process of Slammer by using NS-2. Recently introduced NS-2 modeling called "Detailed Network-Abstract Network Model" had enabled packet level analysis. However, it had deficiency of accommodating only small sized network. By extending the NS-2 DN-AN model to AN-AN model (Abstract Network-Abstract Network model), it is effectively simulated that the whole process from the initial infection to the total network congestion on hourly basis not only for the Korean network but also for the rest of the world networks. Furthermore, the progress of the propagation from Korean network to the other country was also simulated through the AN-AN model. 8,848 hosts in Korean network were infected in 290 second and 66,152 overseas hosts were infected in 308 second. Moreover, the scanning traffics of the worm at the Korean international gateway saturated the total bandwidth in 154 seconds for the inbound traffic and in 135 seconds for the outbound one.

A Study on the Method of Freight Generation Estimation according to Company Size in Seoul Metropolitan Area (수도권의 사업체 규모에 따른 화물발생 예측 방법론 연구)

  • Park Sang-Chul;Choi Chang-Ho
    • Journal of Navigation and Port Research
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    • v.29 no.5 s.101
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    • pp.431-437
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    • 2005
  • In korea, Freight generation models developed in korea were estimated by spatial unit method which predict freight flow by traffic zone. But it is difficult to predict freight generation using these models, because there are the difference of the totality method of sampling data on freight volume and the variability of the variables by these models on each case study, This study developed new estimation model to predict freight flow which is generated from each company using the characteristics of each company such as the freight outbound & inbound volume, the number of employee, sales, gross area, land area. This model is simpler than the that of spatial unit and can apply to the other region. The subjects of study were companies in metropolitan area and types of model were exponential regression models. The adequate explanatory variable in the models were sales. this study have a uniqueness apply micro research method to estimate freight generation not use spatial unit method but use flow unit method by each company unit.