Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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A Fake Content Remove Scheme using Binomial Distribution Characteristics of Collective Intelligence in P2P

이항분포 특성의 집단지성을 이용한 P2P 환경에서의 Fake 콘텐츠 제거기법

  • 차병래 (광주과학기술원, 고성능컴퓨팅.협업환경 연구센터) ;
  • 김종원 (광주과학기술원, 정보기전공학부)
  • Received : 2010.01.21
  • Accepted : 2010.04.30
  • Published : 2010.04.30
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Abstract

A P2P network can be created or destroyed automatically because it is based on the structural characteristic of being promoted by peer communities' free participation. While users can share resources they want in a P2P, there are also many resources they do not want such as fake contents. As one method of removing fake contents, it is suggested to use collective intelligence in P2P environment. And we simulated merit of reputation system.

P2P 커뮤니티는 자발적으로 생성 및 소멸될 수 있는데 이는 Peer의 자유로운 참여로 조성되는 네트워크라는 구조적인 특징에 기반 한다. P2P에는 사용자들이 원하는 자원들을 공유할 수도 있지만, Fake 콘텐츠들과 같은 공유를 원하지 않는 자원들도 많다. 이러한 Fake 콘텐츠들을 제거하기 위한 하나의 방법으로 P2P 환경에서의 집단 지성(Collective Intelligence)을 이용하는 방법을 제안하며, 평판 시스템의 장점에 대해 시뮬레이션을 수행한다.

Keywords

References

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