2019年第9期专题在线优先出版：区块链数据管理

区块链数据管理专题前言

foreword to the topic of block chain data management

于戈1,  牛保宁2,  金澈清3

1(东北大学 计算机科学与工程学院, 沈阳 110169)
2(太原理工大学 计算机科学与技术学院, 太原  030024)
3(华东师范大学 数据科学与工程学院, 上海  200062)

2019,30(9):2569-2570. http://www.jos.org.cn/1000-9825/5777.htm

Chinese citation format: Ugo, Casconin, Jin Ching, foreword to block chain data management. Software Journal, 2019,30(9):2569-2570. 企业级区块链技术综述》分析多个企业级区块链平台的系统架构,从交易流程、区块链网络、共识机制、区块链数据、智能合约、隐私保护几个方面阐述了企业级区块链的原理与技术,针对企业级区块链的现状,总结了当前的研究挑战与未来的发展趋势.

Technical Overview of the Block Chains at the Enterprise Level

《基于动态授权的信任度证明机制》提出一种基于动态授权的信任证明机制（Proof of Trust, PoT）,在应对权益粉碎攻击、贿赂攻击以及权益累积攻击方面相比于传统权益证明机制具有优势.

> Proof of Trust, POT, a dynamic empowerment-based trust certification mechanism, has an advantage over traditional evidence-of-interest mechanisms in responding to fragmentation attacks, bribery attacks and cumulative equity attacks.

《一种面向合同的智能合约的形式化定义及参考实现》针对智能合约在不同的区块链平台上的定义与实现差异度大的问题,给出了面向合同的智能合约的形式化定义,提出了一个独立于区块链平台的、通用的智能合约实现方法,并在Hyperledger Fabric上进行实现.

A formalised definition of a contract-oriented smart contract and reference to the realization of provides a formalised definition of a contract-oriented smart contract for the definition and realization of differences between the different block chain platforms of a contract, proposes a common approach to the realization of an intelligent contract independent of the block chain platform and is implemented on the Hyperleder Fabric.

（二）区块链查询处理及相关技术

(ii) Block chain query processing and related technology

《基于区块链的档案数据保护与共享方法》针对现有档案数据管理中普遍存在的数据中心化存储、安全性差和防篡改性弱等问题,提出了一种基于区块链的档案数据保护与共享方法,综合采用智能合约和数字签名技术,并结合公有链和联盟链来管理档案数据,使数据可信共享,并且不可被篡改.

Archival Data Protection and Sharing Method based on the Block Chain proposes an Archival Data Protection and Sharing Method based on Block Chains, a combination of smart contract and digital signature technology, and the management of Archival Data in conjunction with the Public and Alliance Chains to make data credibly shared and not subject to tampering...

《基于区块链的大数据访问控制机制》针对大数据资源来源广泛、动态性强且呈现出分布式管理的特点,以ABAC模型为基础,提出了一种基于区块链的大数据访问控制机制,确保访问控制信息的不可篡改性、可审计性和可验证性；基于智能合约的访问控制方法实现对大数据资源的访问控制，具有用户驱动、全程透明、动态、自动化等特点.

> Large Data Access Control Mechanism based on block chains for extensive, dynamic and distributed management of large data sources, based on the ACAC model, proposes a large data access control mechanism based on block chains to ensure the integrity, auditability and verifiability of access control information; and a smart contract-based access control approach to achieve access control to large data resources with user-driven, full-range transparency, dynamic, automated features.

《容量可扩展区块链系统的高效查询方法》提出一种基于区块链存储容量可扩展模型的高效查询方法--ElasticQM,该查询模型由用户层、查询层、存储层和数据层组成.通过在多节点不同数据量的区块链中查询的实验表明,ElasticQM查询方法具有高效的查询效率.

> Efficient Query Method for Extendable Block Chain Systems proposes an efficient Query Method based on an Extendable Block Chain Storage Capacity Model - ElasticQM, which consists of user layers, query layers, storage layers and data layers. Experiments to search in blocks chains with different numbers of data at multiple nodes have shown that ElasticQM QM Query is efficient and efficient.

《区块链数据库：一种可查询且防篡改的数据库》针对现有的区块链系统不能经由链上对交易内的数据字段的具体细节进行直接查询的问题,提出一种区块链数据库系统框架,提出了一种基于哈希指针的不可篡改索引来快速检索区块内数据,以提高区块链的查询效率.

Block Chain Database: A searchable and tamper-proof database proposes a framework for a block chain database system that proposes an inexorable index based on the Hash guidelines to quickly retrieve intra-block data in order to improve the efficiency of access to the block chain.

本专刊主要面向区块链、大数据、数据库、信息系统等多领域的研究人员和工程人员,反映了我国学者在区块链数据管理技术领域最新的研究进展.感谢《软件学报》编委会和CCF信息系统专委会对专刊工作的指导和帮助,感谢专刊全体评审专家及时、耐心、细致的评审工作,感谢踊跃投稿的所有作者.希望本专刊能够对区块链相关领域的研究工作有所促进.

The special issue is aimed primarily at researchers and engineers in a wide range of fields, such as block chains, big data, databases, information systems, and reflects the latest research progress made by our scholars in the technical field of block chain data management.... Thanks to the Editorial Board of the Software Journal and the CIF Information Systems Commission for their guidance and assistance in the work of the special issue, thanks to the timely, patient and detailed review of all review experts of the special issue, and thanks to all the authors who contributed their contributions... It is hoped that the special issue will contribute to research in areas related to the sector chain.

于戈(1962－),男,博士,东北大学教授,博士生导师, 中国计算机学会会士, 中国电子学会高级会员，美国ACM会员和IEEE高级会员。当前研究领域包括数据库理论与技术、分布与并行式系统、云计算与大数据管理、区块链技术与应用等.

Yugo (1962- ), M.D., Ph.D., Professor at Northeast University, Ph.D. Professor, Bachelor of the Chinese Computer Society, Senior Member of the Chinese Electronics Society, Senior Member of the American ACM and IEEE. Current research areas include database theory and technology, distribution and parallel systems, cloud computing and big data management, block chain technology and applications.

牛保宁(1964－),男,教授,博士生导师. CCF高级会员，主要研究领域为大数据管理与分析、数据库系统性能管理、空间数据管理、多媒体数据管理、区块链数据管理等.

Bull Pawning (1964- ), male, professor, doctoral student mentor. Senior member of the CCF, whose main areas of research are big data management and analysis, database systems management, spatial data management, multimedia data management, block chain data management, etc.

金澈清(1977－),男,博士,教授,博士生导师,华东师范大学数据科学与工程学院副院长，CCF高级会员,研究兴趣主要包括数据流管理、基于位置的服务、不确定数据管理、区块链数据库等.

Jin Chingqing (1977- ), male, doctoral, professor, doctoral teacher, Vice-President of the Faculty of Data Sciences and Engineering of the Huadong Teachers' University, senior member of the CCF, research interests include data flow management, location-based services, uncertain data management, block chain databases, etc.