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基于区块链的大数据确权方案 被引量:59

Blockchain-based Big Data Right Confirmation Scheme
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摘要 数据确权一直是大数据交易面临的挑战性之一。传统的确权手段采用提交权属证明和专家评审的模式,但是缺乏技术可信度,且存在潜在的篡改等不可控因素。为解决这些问题,迫切需要操作性强的确权方案。基于区块链技术和数字水印技术,提出了一种新的大数据确权方案。首先,引入审计中心和水印中心,以分离大数据完整性审计和水印生成的职责。其次,基于数据持有性证明技术和抽样技术,实现对大数据完整性的轻量级审计。再次,利用数字水印技术的特殊安全性质,实现对大数据起源的确认。最后,针对整个确权过程中涉及到的证据的完整性和持久性,利用区块链的原生特点实现确权结果与相关证据的强一致性。正确性和安全性分析结果表明,该方案能够为大数据的所有权界定提供新的技术思路和方法。 Data right confirmation has always been one of the most challenging problems in big data trading.Traditional means of right confirmation adopt the model of submitting the ownership evidence and expert reviewing,but they lack technological credibility and there are some uncontrollable factors such as potential tampering.In order to solve these problems,a strongly operational confirmation scheme is urgently needed.This paper put forward a new big data right confirmation scheme based on the technologies of blockchain and digital watermarking.Firstly,the auditing center and watermarking center are brought in to separate the duties of the integrity auditing of big data and watermarking generation.Secondly,using provable data possession technique and sampling technique,the lightweight audit of the integrity of big data is realized.Thirdly,the special security properties of digital watermarking technology are used to confirm the origin of big data.Finally,in the light of the integrity and persistence of evidence involved in the right confirmation,the native features of blockchain,such as the shared ledger,are used to implement strong consistency of the right confirmation result and relevant evidence.Correctness and security analysis results show that the proposed scheme can provide a new technical solution for the definition of ownership of big data.
出处 《计算机科学》 CSCD 北大核心 2018年第2期15-19,24,共6页 Computer Science
基金 国家自然科学基金(61363068 61662009 61772008)资助
关键词 数据确权 区块链 数字水印技术 密码学 Data right confirmation Blockchain Digital watermarking technology Cryptography
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  • 1柯武刚 史漫飞.制度经济学-社会秩序与公共政策[M].北京:商务印书馆,2000,11.119,122.
  • 2维克多·迈尔·舍恩伯格,肯尼恩·库克耶.大数据时代:生活、工作与思维的大变革[M].盛杨燕,周涛,译.杭州:浙江人民出版社,2013:8,127.
  • 3巴里.交易服务打通我国大数据产业"最后一公里”[EB/OL].(2014-12-18).http://news.ccidnet.corn/art/1032/20141218/5709175-1.html.
  • 4杨林.数据挖掘(DM)的全视图[EB/OL].(2008-01-08).http://www.zdnet.tom.cn/managesoft/2008/0108/700355.shtml.
  • 5James Manyika, Michael Chui, Brad Brown, et al. Big data: The next frontier for innovation, competition and productivity[EB/OL]. [2015-06-27]. http://www mckinsey.com/insights/business_technology/big_data the next frontier for innovation.
  • 6金言.大数据的国家战略[EB/OL].(2015-03.241.http://news.xinhuanet.com/info/2015-03/24/c一134093032.htm.
  • 7腾讯科技.福布斯:今年大数据工厂营收预计达soil美元[EB/OL].(2012-02.20).http://www.cnii.tom.cn/il/content/2012-02/20/content一957353.htm.
  • 8私人医生.解析大数据概念及应用[EB/0L].(2014.10.29).http://www.68d1.com//research/2014/1029/16191.html.
  • 9Naturexes.日益凸显的数据产权问题:从隐私权、人格权、交易费用等多方面解析电商是否应与用户分享来自数据的收益[EB/OL].(2014.05.041.http://news.ittime.com.cn/news/news480.shtml.
  • 10徐子沛.数据外部性这把“大数据之剑”[EB/OL].(2015-O1-04),http://tuzipei.bahia.baidu.corn/article/41606.

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