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Secure distribution of big data based on bittorrent

  • Limin Xiao
  • , Chunjie Xu
  • , Jingchao Qin
  • , Guangjun Qin
  • , Mingfa Zhu
  • , Li Ruan
  • , Zhiyao Wang
  • , Mingquan Li
  • , Dongyu Tan
  • Beihang University
  • Space Star Technology Co., Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently, big data becomes more and more widespread on the Internet, as various P2P protocols, especially BitTorrent, make great contribution. Accompanied with BitTorrent spreading, however, malicious activities, divulging sensitive data and other security problems arise. Relative researches and analyses indicate that existing means of protecting P2P network are sophisticated but intricate when distributing big data, leading inefficiency of implementation. In this paper, a scheme to distribute big data securely and efficiently on BitTorrent network is proposed, which can be implemented in server, authorizing peers' admittances and actions, hence protecting sensitive data in the network. To achieve this goal, identity verification and cipher system are embedded into BitTorrent protocol, enabling the server to regulate and keep trace of peers' behaviors and sensitive data. The experimental results show the functional effectiveness of this scheme, as well as acceptable overhead on server.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, DASC 2013
PublisherIEEE Computer Society
Pages82-90
Number of pages9
ISBN (Print)9781479933815
DOIs
StatePublished - 2013
Event11th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2013 - Chengdu, Sichuan, China
Duration: 21 Dec 201322 Dec 2013

Publication series

NameProceedings - 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, DASC 2013

Conference

Conference11th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2013
Country/TerritoryChina
CityChengdu, Sichuan
Period21/12/1322/12/13

Keywords

  • big data distribution
  • encryption
  • security

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