Copyright protection application based on blockchain technology - Details

author：

Ouyang, Yi (Ouyang, Yi.) ^[1] | Zheng, Xianghan (Zheng, Xianghan.) ^[2] (Scholars：郑相涵) | Lu, Xiaoliang (Lu, Xiaoliang.) ^[3] | Xiaowei, Lin (Xiaowei, Lin.) ^[4] | Zhang, Shengyin (Zhang, Shengyin.) ^[5]

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EI Scopus

Abstract：

In　the　traditional　copyright　protection　platform,　there　are　problems　such　as　copyright　information　security　and　high　registration　cost.　With　the　rapid　development　of　blockchain　technology,　blockchain　technology,　as　a　new　technology　architecture,　has　the　characteristics　of　decentralization,　nontamperability,　traceability,　openness　and　transparency,　and　has　a　natural　combination　with　copyright　protection,　which　is　expected　to　solve　the　existence　of　traditional　copyright　protection.　The　pain　point　of　this　paper　is　to　apply　the　blockchain　technology　to　the　copyright　management　platform.　It　is　hoped　that　in　this　way,　the　problems　of　poor　security,　difficult　rights,　complicated　transaction　procedures,　etc.　in　the　traditional　copyright　management　platform　are　solved.　An　attempt　to　combine　chain　technology　with　copyright　protection.　©　2019　IEEE.

Keyword：

Big data Blockchain Cloud computing Copyrights Security of data Social networking (online)

Community：

[ 1 ] [Ouyang, Yi]Fujian Key Laboratory of Network Computing, Intelligent Information Processing, Fuzhou University, Fuzhou, China
[ 2 ] [Zheng, Xianghan]Fujian Key Laboratory of Network Computing, Intelligent Information Processing, Fuzhou University, Fuzhou, China
[ 3 ] [Lu, Xiaoliang]Technology (Qingdao) Co. Ltd
[ 4 ] [Xiaowei, Lin]Technology (Qingdao) Co. Ltd
[ 5 ] [Zhang, Shengyin]Fujian Key Laboratory of Network Computing, Intelligent Information Processing, Fuzhou University, Fuzhou, China

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Source ：

Year： 2019

Page： 1271-1274

Language： English

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 10

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 5

Affiliated Colleges：

计算机与大数据学院、软件学院本学院/部未明确归属的数据

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