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Analyzing Spatiotemporal Characteristics of Education Network Traffic with Flexible Multiscale Entropy

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJGDC) 바로가기
  • 간행물
    International Journal of Grid and Distributed Computing SCOPUS 바로가기
  • 통권
    Vol.9 No.5 (2016.05)바로가기
  • 페이지
    pp.303-312
  • 저자
    Chen Yang, Renjie Zhou, Jian Wan, Jilin Zhang, Yuyu Yin
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A275603

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원문정보

초록

영어
In this paper, we propose an analysis method of spatial and temporal characteristics of education network traffic based on flexible multiscale entropy (FMSE). As an improved method, flexible multiscale entropy has a significant improvement in stability and accuracy over multiscale entropy (MSE). We analyze network traffic in different time scales, space scales and traffic levels by building network traffic time-space analysis model and using flexible multiscale entropy as a method to quantify complexity of different network traffic subsequences. The results show that there are distinct characteristics in the complexity of different levels of network traffic. We also find that the existence of a large number of small network traffic flows has a significant influence on the complexity of network traffic.

목차

Abstract
 1. Introduction
 2. Methodology
  2.1. Flexible Multiscale Entropy
  2.2. Network Traffic Analysis Model
 3. Experiment Results
  3.1. Experiment Setup
  3.2. Macro Level Network Traffic Analysis
  3.3. PC level Network Traffic Analysis
 4. Conclusion and Future Work
 Acknowledgment
 References

키워드

education network network traffic flow multiscale entropy flexible multiscale entropy spatiotemporal scale transformation

저자

  • Chen Yang [ School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China. ]
  • Renjie Zhou [ School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China. ] Corresponding Author
  • Jian Wan [ School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China. ]
  • Jilin Zhang [ School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China. ]
  • Yuyu Yin [ School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China. ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Grid and Distributed Computing
  • 간기
    격월간
  • pISSN
    2005-4262
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.9 No.5

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