• Title/Summary/Keyword: Internet Spread

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Emergency Management on Internet Spread of Social Events

  • Dai, Weihui;Wang, Chunshi;Zhang, Yuan
    • Journal of Information Technology Applications and Management
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    • v.18 no.1
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    • pp.41-53
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    • 2011
  • The rapid development and widespread application of Internet has provided a platform for people to participate and discuss social hotspot events. In the meantime, social events may be spread throughout the Internet more quickly and widely than they did ever before, and possibly lead to serious social problems due to opinion violence or seditious rumour. This paper analyzed the Internet spread of social events, and presented a five-stage model to describe the evolution process of that spread. Furthermore, the improved IBF algorithm was applied to extract a pruned connected graph aiming to find the key nodes and the shortest spread path for the control of that spread. After analyzing the different factors that may cause the netizens' attention, this paper concluded BBS type, the visit quantity and the opinion leader are key factors which affect the Internet spread. Based on those researches, a life-cycle emergency management methodology and the related strategies were proposed for the achievement of healthy spreading environment on Internet.

A Study on the Spread of Internet Worms by Internet Environments (인터넷 환경에 따른 인터넷 웜 확산 방식 연구)

  • Shin, Weon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.1
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    • pp.81-86
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    • 2008
  • Fast spreading Internet worms, such as Code Red and Slammer, have become one of the new major throne of the Internet recently. In order to defend against theses worms, it is essential to understand how Internet worms propagate and how different Internet factors affect worm spreading. In this paper, we intend to describe the spread of worms on Internet environments accurately. Therefore we model and analyze the spreading effects by various simulations considering Internet addressing and speed. The results lead to a better prediction of the worm spreading on current and future Internet environments.

Impact Analysis of Internet Addiction on Students' Academic Performance

  • Seong-Hoon Lee;Dong-Woo Lee
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.248-253
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    • 2023
  • Nowadays, with the spread of the Internet and the emergence of high-performance computers and various peripheral devices, our society is undergoing great changes. In the field of education, various types of education using smart education infrastructure are being conducted. The spread of the Internet and the development of various devices have problems that can lead to addiction due to excessive Internet use. Most of the problems that appear in adolescence are immersed in games, which can affect academic achievement. Therefore, in this study, the effect of excessive Internet use on students' academic achievement was studied. The survey for the study was conducted through a questionnaire survey, and the subjects of the survey were high school students majoring in humanities. As a result, the relationship between academic achievement and Internet addiction was low in the middle, upper, and lower groups in the general user group. Also, in the highrisk user group, it appeared high in the order of middle, low, and high.

Estimation and Analysis of MIMO Channel Parameters using the SAGE Algorithm (SAGE 알고리즘을 이용한 MIMO 채널 파라미터 추정과 분석)

  • Kim, Joo-Seok;Yeo, Bong-Gu;Choi, Hong-Rak;Kim, Kyung-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.5
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    • pp.79-84
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    • 2017
  • This paper is a multi-input multi-path (Multiple-input multiple-output: MIMO) using a space-alternating generalized expectation maximization(SAGE) algorithm in the parameter channel and determine the channel estimation performance. Estimated by the algorithm, SAGE time-varying channel environment, the channel parameters estimated from the parameters of the channel measured in the island region 781 of the band in order to compare the performance and compares the original data. This allows you to check the performance of the algorithm SAGE and is highly stable to delay spread (Delay Spread), the diffusion angle of arrival (Arrive of Angular Spread) performance in terms of accuracy down through the SAGE algorithm for estimating a more general calculation parameters.

A Spread Prediction Tool based on the Modeling of Malware Epidemics (악성코드 확산 모델링에 기반한 확산 예측 도구 개발)

  • Shin, Weon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.4
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    • pp.522-528
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    • 2020
  • Rapidly spreading malware, such as ransomware, trojans and Internet worms, have become one of the new major threats of the Internet recently. In order to resist against their malicious behaviors, it is essential to comprehend how malware propagate and how main factors affect spreads of them. In this paper, we aim to develop a spread prediction tool based on the modeling of malware epidemics. So we surveyed the related studies, and described the system design and implementation. In addition, we experimented on the spread of malware with major factors of malware using the developed spread prediction tool. If you make good use of the proposed prediction tool, it is possible to predict the malware spread at major factors and explore under various responses from a macro perspective with only basic knowledge of the recently wormable malware.

A Study on the Propagation and Defense Model of Internet Worm (인터넷 웜의 확산 모델과 방어 모델 연구)

  • 서동일;김환국;이상호
    • Proceedings of the Korea Information Assurance Society Conference
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    • 2004.05a
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    • pp.181-185
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    • 2004
  • In these days, many reports noticed that the Internet worms spread out and have done considerable damage to all over the world network within a few days. The worms, which is infected from various route such as e-mail, can spread very fast with common property, self replication. But, there is not prepare for the way effectively to interrupt internet worm. Therefore, to prevent our network resource, internet hosts and user clients, the systemic categorization and automatic defense mechanism is required in the Internet worm research. Hence, in this paper, we describe internet worm propagation and defense model.

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The Spread of Internet Worms on Convergence Networks (융합망 환경에서 인터넷 웜 확산 방식 연구)

  • Shin, Weon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.3B
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    • pp.551-557
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    • 2010
  • Fast spreading Internet worms will be sure to become one of the new major threats of convergence networks as well as the Internet. In order to defend and respond them, it is necessary to study how Internet worms propagate and what factors affect worm spreading. In this paper, we try to describe the correct spread of worms on convergence network environments. Therefore we propose a spreading model and analyze the spreading effects by various experiments.

Method to Limit The Spread of Data in Wireless Content-Centric Network (무선 Content-Centric Network에서 Data 확산 제한 방법)

  • Park, Chan-Min;Kim, Byung-Seo
    • IEMEK Journal of Embedded Systems and Applications
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    • v.11 no.1
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    • pp.9-14
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    • 2016
  • Since Devices such labtop, tablet, smartphone have been developed, a lots of huge data that can be classified as content is flooded in the network. According to changing Internet usage, Content-Centric Network(CCN) what is new concept of Internet Architecture is appeared. Initially, CCN is studied on wired network. but recently, CCN is also studied on wireless network. Since a characteristic of wireless environment is different from a characteristic of wired environment, There are issues in wireless CCN. In this paper, we discuss improvement method of Data spread issue on wireless CCN. The proposed scheme of this paper use MAC Address of nodes when Interest and Data Packet are forwarded. As using the proposed scheme, we reduce the spread of Data and offer priority of forwarding to nodes of shortest path, reduce delay by modifying retransmission waiting time.

Modeling the Spread of Internet Worms on High-speed Networks (고성능 네트워크에서 인터넷 웜 확산 모델링)

  • Shin Weon
    • The KIPS Transactions:PartC
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    • v.12C no.6 s.102
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    • pp.839-846
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    • 2005
  • Recently broadband convergence network technology is emerging as an integrated network of telecommunication, broadcasting and Internet. But there are various threats as side effects against the growth of information technology, and malicious codes such af Internet worms may bring about confusions to upset a national backbone network. In this paper, we survey the traditional spreading models and propose a new worm spreading model on Internet environment. We also analyze the spreading effects due to tile spread period and the response period of Internet worms. The proposed model leads to a better prediction of the scale and speed of worm spreading. It can be applied to high-speed network such as broadband convergence network.

MIMO Radio Channel Measurement and Analysis at 781MHz (781MHz 대역에서 MIMO 전파 채널 측정 및 분석)

  • Jeong, Won-Ho;Kim, Joo-Seok;Jung, Myoung-Won;Yoon, Young-Keun;Kim, Jong-Ho;Kim, Kyung-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.181-188
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    • 2012
  • In this paper, the measurement data is analyzed and channel parameters are derived through MIMO Channel measurements at 781MHz considering outdoor multi-path environment. 781MHz frequency band currently operates the DTV system. However, it will be allocated new mobile communication frequency band. The channel characteristics at 781MHz seem to be similar existing mobile communication system at 900MHz but a study on channel characteristics of signal transfer process is necessary because there is incomplete study in mobile networks at 781MHz. To avoid interference with Korean DTV broadcasting, we measured channel characteristics in city/suburban areas of Jeju island by channel sounder and $4{\times}4$ antenna of the ETRI(Korea Electronics and Telecommunications Research Institute). Path Loss, Delay Spread, Angular Spread and K-factor were derived based on measured data.