scholarly journals Challenges of Credit Reference Based on Big Data Technology in China

Author(s):  
Cheng-yong Liu ◽  
Chih-Chun Hou

AbstractBig data-based credit reference system gradually attracts wide attention due to its ad-vantages in remedying the shortages of traditional credit reference and dealing with new challenges arising from financial credit management. Nevertheless, this new method is also adapted through different studies and experiments to be problematic with island of credit information and information security. Some researchers begin exploring the possibility of applying blockchain technology to the individual credit reference field. The business links in the individual credit reference can be innovated through the blockchain mechanism so that credit data from different industries get collected through peering points, secure communication and anonymous protection on the basis of such techniques as distributed storage, point-to-point transmission, consensus mechanism and encryption algorithm. In this way, it is feasible to solve island of information and enhance the protection of user information security. A promising future can be expected about the big data-based credit reference, but there are also many problems with blockchain-based credit reference in China.

2018 ◽  
Vol 14 (2) ◽  
pp. 81 ◽  
Author(s):  
Maoran Zhu ◽  
Xin Liu

With development of Big Data technology these years, Internet financial companies in China started trying using big data technology to do credit investigation instead of traditional methods. But there is some limitation and problem in terms of data acquisition channel, information asymmetry and data privacy protection, etc. Block chain, characterized in unalterability and decentralization comes into people's sight. This paper will introduce block chain technology, explore the use of block chain technology in Internet financial credit investigation, and put forward an internet financial credit data sharing model based on block chain, which mainly composed by the Fin-tech Federate Servers group (FFS), the user data storage structure and a distributed database system (DDBS). By combining DPoS and re-encryption technology, the model has the characteristics of non-tampering, authorized access and convenient accountability. Through this model, the user data is recorded by the trusted agent, encrypted by asymmetric encryption technology, and anchored to the chain of the block periodically.


Author(s):  
Cheng-Yong Liu ◽  
Ruey-Cheng Chen

In recent years there has been a phenomenon of “Thirst for Credit Investigation Information” within China's internet finance industry. To compensate for the new credit investigation demands that traditional measures of credit investigation lack, big data credit investigation has been widely recognized as a viable solution. Big data credit investigation however poses greater risks to the rights and interests of the information subject. In order to solve the existing problems associated with the data credit investigation industry, the author advocates that special laws and regulations be revised or formulated on the basis of balancing the rights and interests of the information subject with those of public interests. In the future, the combination of big data credit investigation system with blockchain technology may effectively solve the problems that are harmful to the rights and interests of the information subject, such as information-isolated island and information security.


Author(s):  
Cheng-Yong Liu ◽  
Ruey-Cheng Chen

In recent years there has been a phenomenon of “Thirst for Credit Investigation Information” within China's internet finance industry. To compensate for the new credit investigation demands that traditional measures of credit investigation lack, big data credit investigation has been widely recognized as a viable solution. Big data credit investigation however poses greater risks to the rights and interests of the information subject. In order to solve the existing problems associated with the data credit investigation industry, the author advocates that special laws and regulations be revised or formulated on the basis of balancing the rights and interests of the information subject with those of public interests. In the future, the combination of big data credit investigation system with blockchain technology may effectively solve the problems that are harmful to the rights and interests of the information subject, such as information-isolated island and information security.


2020 ◽  
Vol 218 ◽  
pp. 04008
Author(s):  
Yang Shen

In the era of big data, due to the great influence of big data itself, Internet information security has also become the focus of attention. In order to avoid disturbing people’s lives, this article summarizes the opportunities and challenges in the era of big data based on previous work experience. This article analyzes and studies five aspects including establishing complete laws and regulations, protecting personal information, applying big data technology to public security systems, doing a good job in data management and classification, and ensuring the security of data transmission. The author discusses specific measures for the maintenance of Internet information security in the era of big data from the above five aspects.


2020 ◽  
Author(s):  
Yuhao Zhao

Abstract With the development of Internet finance, existing financial platforms have gradually formed a large-scale, dynamic operating environment. How to ensure information security and realize personal credit evaluation is an urgent problem to be solved in the development of Internet financial platforms. The rise of blockchain technology has provided new solutions for the management of Internet financial platforms and information security. In view of the shortcomings of the current Internet financial credit evaluation, this article discusses the key standards of personal credit evaluation. With the help of blockchain, decision tree and other technologies, this paper designs the credit evaluation process and establishes personal credit evaluation technology. Experiments and analysis show that this technology can effectively improve the transparency of personal credit information in Internet finance. This technology is used to study credit risk assessment factors and provide new solutions for the intelligent transformation and upgrading of Internet finance.


Author(s):  
Yuhao Zhao

Abstract With the development of Internet finance, existing financial platforms have gradually formed a large-scale, dynamic operating environment. How to ensure information security and realize personal credit evaluation is an urgent problem to be solved in the development of Internet financial platforms. The rise of blockchain technology has provided new solutions for the management of Internet financial platforms and information security. In view of the shortcomings of the current Internet financial credit evaluation, this article discusses the key standards of personal credit evaluation. With the help of blockchain, decision tree, and other technologies, this paper designs the credit evaluation process and establishes personal credit evaluation technology. Experiments and analyses show that this technology can effectively improve the transparency of personal credit information in Internet finance. This technology is used to study credit risk assessment factors and provide new solutions for the intelligent transformation and upgrading of Internet finance.


2020 ◽  
Vol 224 ◽  
pp. 03030
Author(s):  
M.A. Ponomareva ◽  
D.V. Karpukhin ◽  
A.N. Stolyarova

In modern Russia, the FinTech is relevant to the development of the financial segment of the economy. The Government evaluates the prospects of development of artificial intelligence technology, blockchain, big data in the area of budget, tax, customs and other relations by now. However, the development of the FinTech in Russia faces many problems. First of all, these is the absence of digital infrastructure for mining cryptocurrency, issues related to information security, the potential risks of illegal non-personalized transactions through the blockchain technology. It is necessary to analyze the content of the discovered institutional problems and to determine the ways to resolve them. The significant role in overcoming the difficulties is assigned to the Federal Law “About the Digital Financial Assets”, which shall enter into force on the 1st of January 2021. Besides the foreign experience in overcoming the difficulties related to the utilization of FinTech is particularly valuable for Russia to solve the identified issues effectively.


2020 ◽  
Author(s):  
Tanweer Alam

The wireless communication is the fastest-growing field of studies to enable humans to communicate with each other. Introducing a new blockchain architecture with big data analytics can be an enticing platform towards increasing connectivity performance throughout the smart cities. Blockchains can build a convenient mechanism allowing two devices to effectively transmit currency as well as data, to each other with a secure and reliable agreement. Smart cities provide an opportunity to connect people and places that use emerging technologies that help to improve urban planning and development. Smart cities can enhance public infrastructure and people's living experience. Presently, high-speed, intelligent, effective with several innovations, like low energy consumption, etc., seem to be accessible to interact together in the modern environment. By using the blockchain-based big data approach the physical devices are allowed to communicate securely with other physical devices in heterogeneous environments. This approach builds a new blockchain-based computing structure throughout the IoT technology configuration. This approach can examine blockchain technology to the underlying technology or maintains the IoT authentication reliable. This strengthens blockchain and cloud to develop an enabling IoT pervasive environment for secure communication among the physical objects.


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