See the published version of this preprint at EURASIP Journal on Wireless Communications and Networking.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
Research
Yuhao Zhao
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.
Keywords
Personal Credit Evaluation, Blockchain, Decision Tree, Internet Finance
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
The full text of this article is available to read as a PDF.
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at EURASIP Journal on Wireless Communications and Networking.
Version 2
Posted 13 Aug, 2020
No community comments so far
Editorial decision: Accept
On 19 Sep, 2020
Reviewer #3 agreed
On 08 Aug, 2020
Review #2 received
Received 08 Aug, 2020
Review #3 received
Received 08 Aug, 2020
Review #1 received
Received 08 Aug, 2020
Reviewers invited
Invitations sent on 07 Aug, 2020
Reviewer #1 agreed
On 07 Aug, 2020
Reviewer #2 agreed
On 07 Aug, 2020
Editor assigned
On 06 Aug, 2020
Submission checks complete
On 05 Aug, 2020
Editor invited
On 05 Aug, 2020
No comments provided
Review #3 received
Received 31 Jul, 2020
Editorial decision: Major revision
On 31 Jul, 2020
Review #2 received
Received 29 Jul, 2020
Review #1 received
Received 13 Jul, 2020
Reviewer #3 agreed
On 12 Jul, 2020
Reviewer #1 agreed
On 27 Jun, 2020
Reviewer #2 agreed
On 27 Jun, 2020
Reviewers invited
Invitations sent on 26 Jun, 2020
Editor assigned
On 17 Jun, 2020
Editor invited
On 16 Jun, 2020
Submission checks complete
On 10 Jun, 2020
First submitted
On 08 Jun, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Technical Communication
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at EURASIP Journal on Wireless Communications and Networking.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Yuhao Zhao
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at EURASIP Journal on Wireless Communications and Networking.
Version 2
Posted 13 Aug, 2020
No community comments so far
Editorial decision: Accept
On 19 Sep, 2020
Reviewer #3 agreed
On 08 Aug, 2020
Review #2 received
Received 08 Aug, 2020
Review #3 received
Received 08 Aug, 2020
Review #1 received
Received 08 Aug, 2020
Reviewers invited
Invitations sent on 07 Aug, 2020
Reviewer #1 agreed
On 07 Aug, 2020
Reviewer #2 agreed
On 07 Aug, 2020
Editor assigned
On 06 Aug, 2020
Submission checks complete
On 05 Aug, 2020
Editor invited
On 05 Aug, 2020
No comments provided
Review #3 received
Received 31 Jul, 2020
Editorial decision: Major revision
On 31 Jul, 2020
Review #2 received
Received 29 Jul, 2020
Review #1 received
Received 13 Jul, 2020
Reviewer #3 agreed
On 12 Jul, 2020
Reviewer #1 agreed
On 27 Jun, 2020
Reviewer #2 agreed
On 27 Jun, 2020
Reviewers invited
Invitations sent on 26 Jun, 2020
Editor assigned
On 17 Jun, 2020
Editor invited
On 16 Jun, 2020
Submission checks complete
On 10 Jun, 2020
First submitted
On 08 Jun, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Technical Communication
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at EURASIP Journal on Wireless Communications and Networking.
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.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
The full text of this article is available to read as a PDF.
Loading...