Secure Distribution of Big Data Based on BitTorrent

Limin Xiao, Chunjie Xu, Jin Qin, Guangjun Qin, Mingfa Zhu, Li Ruan, Zhiyao Wang, Mingquan Li, D. Tan
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引用次数: 1

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.
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基于BitTorrent的大数据安全分发
近年来,大数据在互联网上的应用越来越广泛,各种P2P协议,尤其是BitTorrent都做出了巨大的贡献。然而,伴随着BitTorrent的传播,恶意活动、泄露敏感数据等安全问题也随之出现。相关研究和分析表明,现有的P2P网络在分布大数据时保护手段复杂而繁琐,导致实施效率低下。本文提出了一种在BitTorrent网络上安全高效地分发大数据的方案,该方案可以在服务器端实现,对对等体的准入和行为进行授权,从而保护网络中的敏感数据。为了实现这一目标,BitTorrent协议中嵌入了身份验证和密码系统,使服务器能够调节和跟踪对等体的行为和敏感数据。实验结果表明了该方案的功能有效性,并且在可接受的服务器开销范围内。
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