Chinese Internet Finance Credit Investigation Issue and Legal Countermeasures

2019 ◽  
pp. 193-218
Author(s):  
Cheng-Yong Liu ◽  
Ruey-Cheng Chen
Keyword(s):  
Big Data ◽  
Information Security ◽  
Public Interests ◽  
Existing Problems ◽  
Finance Industry ◽  
Blockchain Technology ◽  
Viable Solution ◽  
Internet Finance ◽  
Rights And Interests ◽  
Investigation Information

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.

Chinese Internet Finance Credit Investigation Issue and Legal Countermeasures

2021 ◽  
pp. 1303-1322
Author(s):  
Cheng-Yong Liu ◽  
Ruey-Cheng Chen
Keyword(s):  
Big Data ◽  
Information Security ◽  
Public Interests ◽  
Existing Problems ◽  
Finance Industry ◽  
Blockchain Technology ◽  
Viable Solution ◽  
Internet Finance ◽  
Rights And Interests ◽  
Investigation Information

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.

scholarly journals A Study of the Development Mode of Internet Finance in China in the Context of Big Data

2021 ◽  
Vol 275 ◽  
pp. 01045
Author(s):  
Tingting Dou ◽  
Geng Liu
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Development Mode ◽  
Continuous Development ◽  
Existing Problems ◽  
Policy Suggestions ◽  
Main Development ◽  
Internet Finance ◽  
The Relationship ◽  
Financial Technology

In recent years, with the continuous development of China’s financial technology, the relationship between Internet finance and computing information technology such as big data is getting increasingly close. Based on the existing research results, following the research ideas of finding, analyzing and solving problems, this paper studied several main development modes of Internet finance in China in the context of big data, and pointed out the existing problems, so as to put forward policy suggestions to optimize China’s Internet finance on the basis of analyzing the reasons.

scholarly journals Research on Personal Credit Evaluation of Internet Finance Based on Blockchain and Decision Tree Algorithm

2020 ◽  
Author(s):  
Yuhao Zhao
Keyword(s):  
Information Security ◽  
Decision Tree ◽  
Large Scale ◽  
Evaluation Process ◽  
Credit Evaluation ◽  
Personal Credit ◽  
Blockchain Technology ◽  
Financial Credit ◽  
Internet Finance ◽  
Dynamic Operating

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.

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

2021 ◽  
Author(s):  
Cheng-yong Liu ◽  
Chih-Chun Hou
Keyword(s):  
Big Data ◽  
Information Security ◽  
Secure Communication ◽  
Distributed Storage ◽  
Blockchain Technology ◽  
Financial Credit ◽  
Credit Data ◽  
Point To Point ◽  
The Individual ◽  
Big Data Technology

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.

scholarly journals Research on personal credit evaluation of internet finance based on blockchain and decision tree algorithm

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Yuhao Zhao
Keyword(s):  
Information Security ◽  
Decision Tree ◽  
Large Scale ◽  
Evaluation Process ◽  
Credit Evaluation ◽  
Personal Credit ◽  
Blockchain Technology ◽  
Financial Credit ◽  
Internet Finance ◽  
Dynamic Operating

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.

scholarly journals FinTech in Russia under circumstances of IT technologies development: development challenges and solutions

2020 ◽  
Vol 224 ◽  
pp. 03030
Author(s):  
M.A. Ponomareva ◽  
D.V. Karpukhin ◽  
A.N. Stolyarova
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Information Security ◽  
Financial Assets ◽  
Federal Law ◽  
Blockchain Technology ◽  
Digital Infrastructure ◽  
Artificial Intelligence Technology ◽  
Potential Risks ◽  
The Government

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.

scholarly journals Information Security Management of Sharing Economy Based on Blockchain Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jian Xiao
Keyword(s):  
Big Data ◽  
Information Security ◽  
Information Fusion ◽  
Economic Model ◽  
Management System ◽  
Security Management ◽  
Sharing Economy ◽  
Information Security Management ◽  
Current Information ◽  
Blockchain Technology

Based on the unprecedented development of current information technology, under the prevalence of third-party payment, in order to increase the utilization rate of idle resources and meet the diversified economic needs of today’s era, as an emerging economic model-the “sharing economy”, combined with Internet big data, it has effectively realized the perfect connection between supply and demand, and it has quickly swept through all walks of life. However, while promoting economic development, the lack of regulatory measures and the imperfect credit system have severely restricted the further development of the sharing economy. Blockchain technology (BT), as a new distributed infrastructure and computing method, has always been the core technology of Bitcoin. Based on the development of generalized economic model and BT, this paper analyzes the shortcomings of generalized economic model and blockchain technology through information fusion big data and proposes a kind of information based on information fusion big data+public BT. The security management system adapts to the status quo of the sharing economy and uses the functions of information fusion big data+blockchain technology to solve the current information security risks faced by the sharing economy. The experimental results of this article show that the sharing economy information security management system based on information fusion big data+blockchain technology has good protection capabilities. The interception rate of external information reached 95%, and the interception rate of system information reached 93%. Better protection of privacy leaks is needed.

scholarly journals Internet Financial Risk Early Warning Based on Big Data Analysis

2021 ◽  
pp. 48-60
Author(s):  
Noura Metawa ◽  
◽  
◽  
Saad Metawa
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Prediction Accuracy ◽  
Financial Risk ◽  
Big Data Analysis ◽  
Risk Prevention ◽  
Supervision System ◽  
Finance Industry ◽  
Risk Warning ◽  
Internet Finance

Internet financial risk prevention is an important area for financial risk prevention. In recent years, a series of vicious high-risk events, such as cash lending and P2P platform running, have caused a great negative impact on the reputation of the Internet financial industry, which has aroused great concern from all walks of life. Based on big data analysis technology, this paper constructs an improved algorithm model, and carries out high-precision risk warning for China's Internet financial risk. The forecast data is basically consistent with the actual situation, and the prediction accuracy reaches 90%. It can be seen that the improved model based on the decision tree algorithm has higher prediction accuracy for Internet financial risk warning. This paper systematically sorts out the risks of China's Internet finance from two dimensions: risk type and main risk. And pointed out that the current Internet finance industry in China has a large overall compliance risk, and insufficient infrastructure construction leads to fraud risks. Separate industry supervision has a regulatory vacuum, arbitrage risks are more obvious, and China's financial consumer quality is not high, Internet financial institutions Improper exemption is risky. On this basis, it is proposed to speed up the construction of a multi-integrated Internet financial risk prevention system including the internal risk control system, the industry association self-discipline system, the government administrative supervision system and the effective social supervision system.

scholarly journals Research on Personal Credit Evaluation of Internet Finance Based on Blockchain and Decision Tree Algorithm

2020 ◽  
Author(s):  
Yuhao Zhao
Keyword(s):  
Information Security ◽  
Decision Tree ◽  
Large Scale ◽  
Evaluation Process ◽  
Credit Evaluation ◽  
Personal Credit ◽  
Blockchain Technology ◽  
Financial Credit ◽  
Internet Finance ◽  
Dynamic Operating

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.

scholarly journals Blockchain Disrupting Fintech and the Banking System

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 24
Author(s):  
Eduard Alexandru Stoica ◽  
Daria Maria Sitea
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Financial Institutions ◽  
New World ◽  
Great Part ◽  
Banking System ◽  
Daily Activities ◽  
Blockchain Technology ◽  
Almost All

Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-peer lending. Blockchain technology is now enjoying great popularity. Thus, a great part of the focus of this research paper is on Elrond. The outcomes highlight the relevance of technology in digital finance.

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