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    15 January 2018, Volume 4 Issue 1
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    TOPIC：BLOCKCHAIN AND DATA SHARING
    Application of blockchain in data circulation
    Shu YAN, Sude QING, Kai WEI
    2018, 4(1):  3-12.  doi:10.11959/j.issn.2096-0271.2018001
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    Circulation of big data is a key link in the value creation of data,but there are numerous problems to be solved.Blockchain is a distributed ledger technology,which can be applied in data circulation by its decentralizing and immutable property.The main idea of authorized deposit certificate,data traceability and smart contract using blockchain was discussed,and the overall architecture of data circulation by blockchain was proposed.Finally,some applications and other data security solutions were introduced.

    Blockchain based supply-chain finance service platform
    Xiaofeng MA, Mingxiao DU, Wenbing YU, Yi WANG
    2018, 4(1):  13-21.  doi:10.11959/j.issn.2096-0271.2018002
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    Blockchain has the characteristics of decentralization,stability,security,and non-modifiability.With the further improvement and application of the blockchain technology,it will be connected with the traditional industries such as finance,medical treatment and logistics.This will radically change the existing operation modes in some industries and restructure a value network.An application of blockchain in the field of supply-chain finance was tried,and a supplychain finance service platform based on the blockchain technology was constructed.The platform combines blockchain technology with other traditional systems,providing a more convenient way of financing for all parties in the supply-chain,improving the transparency,traceability and security of the supply-chain.

    Big data-oriented blockchain for clearing system
    Wei-Tek TSAI, Lian YU, Bo YUAN, Youquan DENG, Qi LI, Bin GUO
    2018, 4(1):  22-35.  doi:10.11959/j.issn.2096-0271.2018003
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    The big data oriented blockchain for trade clearing was introduced,including consensus,secure transmission of trading data storage,data search,encryption and decryption of trading data and trade clearing business.The analysis of the framework design on dismantlement and combination of the composite trading was emphasized,and the potential value and significant meaning of blockchain data on risk decision and assessment through the big data analysis were identified.

    Blockchain and sharing database
    Weining QIAN, Cheqing JIN, Qifeng SHAO, Aoying ZHOU
    2018, 4(1):  36-45.  doi:10.11959/j.issn.2096-0271.2018004
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    Blockchain could achieve trustworthy ledger management without central node.It has been successfully supporting financial applications such as Bitcoin.The essence of blockchain is trusted data management in an incompletely trusted environment.It has such features as decentralization,anti-tampering,strong consistency and integrity.On the other hand,blockchain also suffers the problem of weak data management functions,low performance and other issues.By comparing blockchain with traditional data management techniques and analyzing the three applications of blockchain beyond the financial fields,new research issues on blockchain were explored.The requirement for design and implementation of sharing database systems for specific application domains was discussed.The sharing database can be simply defined as a database that supports mission-critical applications,the sharing economic business model,and even itself is implemented in a sharing economy manner.

    Privacy protection mechanism for blockchain transaction data
    Liehuang ZHU, Hui DONG, Meng SHEN
    2018, 4(1):  46-56.  doi:10.11959/j.issn.2096-0271.2018005
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    Blockchain technology is a distributed data storage technology that is de-centralized,de-trusted,open and transparent.It can reduce the cost of trust and realize safe and reliable data interaction.However,attackers can easily obtain the transaction data stored in the public ledger,and may extract transaction rules and other privacy information from this data by applying big data analysis techniques.Firstly,the thread of attack of data analysis on blockchain transaction data was analyzed,and the attack methods based on data analysis were described.Then the privacy protection mechanism of transaction data which was represented by mixing mechanism was introduced,the basic principle of various mixing methods was described in brief,and the advantages and disadvantages of different mixing approaches for the problem of whether a central node was needed in the process of mixing were analyzed.In the end,the limitation of the existing technologies and envision the future directions on this topic was discussed.

    Technical challenges in applying zero-knowledge proof to blockchain
    Kang LI, Yi SUN, Jun ZHANG, Jun LI, Jihua ZHOU, Zhongcheng LI
    2018, 4(1):  57-65.  doi:10.11959/j.issn.2096-0271.2018006
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    Blockchain is a peer-to-peer distributed ledger technology based on cryptography,However,open and transparent blockchain ledger,combined with sociological mining,data mining and other statistical methods,brings a major threat to user’s privacy.Therefore,privacy protection becomes a hot issue on the blockchain technology research.The existing privacy protection schemes were summarized,especially focusing on the zero-knowledge proof techniques.The technical challenges in applying zero-knowledge proof to blockchain privacy protection schemes were expounded and analyzed,and position solutions to these challenges were given.

    FORUM
    Framework of next-generation internet security management:bright internet initiative
    Xin TANG, Xiaosong WU, Wei HUANG, JaeKyu LEE, Xi ZHAO, Jiayin WANG
    2018, 4(1):  66-76.  doi:10.11959/j.issn.2096-0271.2018007
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    The internet has become a minefield of crime,fakes,and terrors perpetuated by anonymous users on a global scale.In order to fundamentally solve the problem of cyber security,the Association for Information Systems (AIS) has developed a grand initiative for the bright internet based on information and communication technology and big data technology.The proposed initiative not only provides a new research framework for the traditional cyber security framework,but also protects user privacy at an appropriate level.Based on the five principles of bright internet and the data of Chinese cyber security,three approaches were proposed to achieve security architecture.

    FRONTIER
    COLUMN：NATIONAL ENGINEERING LABORATORY FOR BIG DATA
    Innovation platform and ecology construction of big data analysis system
    Yuanzhuo WANG, Xiaolong JIN, Xueqi CHENG
    2018, 4(1):  92-99.  doi:10.11959/j.issn.2096-0271.2018010
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    In view of bottlenecks in common technology and engineering faced by big data analysis in our country,such as low level of processing depth and intelligence degree in big data analysis,incoherence of big data analysis and calculation,complexity of model parameters,poor usability of big data algorithms,deficiency of analysis process,and high requirements of synergistic effect played by big data,the innovation platform of big data analysis system developed by the National Engineering Laboratory for Big Data Analysis System (BDASlab) was systematically introduced.The BDASlab will focus on supporting demonstration applications of scientific computing,government governance,social security,and other aspects.The BDASlab will radiate various fields and entire industry through an open ecological-system way,promoting development of innovation and entrepreneurship.

    COLUMN：2017 Top10 PRACTICES OF BIG DATA APPLICATION
    Prediction method in distribution transformer heavy and overload supply areas with relevance analyze and machine learning
    Guobin ZHANG, Xiaorong WANG, Chunyu DENG
    2018, 4(1):  105-116.  doi:10.11959/j.issn.2096-0271.2018011
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    Aiming at the heavy and over load issue in operation of distribution network,a heavy overload forecasting model to achieve short-term forecast of heavy and overload events was established.Using the actual data of the business system,the proposed method was validated.The results show that the proposed method can describe the heavy and overload events more systematically and comprehensively,and the heavy overload forecasting model based on association rules performs well in the hit rate and accuracy rate.This method provides a new technical means that has certain practical value to enhance the distribution network management which could be seen as important experience of attempts in grid big data as well.

    Application of FinTech in internet financial industry risk prevention
    Pengfei HU
    2018, 4(1):  117-123.  doi:10.11959/j.issn.2096-0271.2018012
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    In view of the increasing fraud risk and long-term liabilities appearing in the field of internet finance,the healthy development of the industry has been severely affected.The challenges facing the internet financial industry were analyzed in detail.Based on distributed architecture design and API calling technology,a shared ecosystem between industry organizations was designed.A social network knowledge graph for a financial scene was proposed.The anti-fraud risk control system was designed.The industry’s anti fraud ability was promoted.

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