Secure Distribution of Big Data Based on BitTorrent
| Autor: | Li Mingquan, Li Ruan, Wang Zhiyao, Tan Dongyu, Guangjun Qin, Jingchao Qin, Limin Xiao, Mingfa Zhu, Xu Chunjie |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
business.industry
BitTorrent tracker Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Big data BitTorrent protocol encryption computer.file_format Computer security computer.software_genre Encryption Cipher Overhead (computing) The Internet business computer BitTorrent Computer network |
| Zdroj: | DASC |
| DOI: | 10.1109/dasc.2013.42 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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