DocumentCode :
691815
Title :
Secure Distribution of Big Data Based on BitTorrent
Author :
Limin Xiao ; Chunjie Xu ; Jingchao Qin ; Guangjun Qin ; Mingfa Zhu ; Li Ruan ; Zhiyao Wang ; Mingquan Li ; Dongyu Tan
Author_Institution :
State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
fYear :
2013
fDate :
21-22 Dec. 2013
Firstpage :
82
Lastpage :
90
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.
Keywords :
Big Data; Internet; authorisation; cryptography; peer-to-peer computing; protocols; BitTorrent network; BitTorrent protocol; Internet; P2P network protection; P2P protocol; big data secure distribution; cipher system; identity verification; malicious activities; peer action authorization; peer admittance authorization; peer behavior; security problems; sensitive data protection; server overhead; Big data; Ciphers; Peer-to-peer computing; Protocols; Servers; big data distribution; encryption; security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3380-8
Type :
conf
DOI :
10.1109/DASC.2013.42
Filename :
6844342
Link To Document :
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