Blockchain‐Powered Framework for Trust Enhancement in <scp>FinTech</scp>: A Comprehensive Trust Evaluation Approach

ABSTRACT The rapid advancement of financial technology (FinTech) has led to the integration of advanced technologies like data science, blockchain, cloud computing, and artificial intelligence. However, trust evaluation remains a critical challenge in dynamic landscape. Existing trust evaluation methods often neglect key aspects of timeliness, reliability, and non‐invasiveness, leading to imprecise trust assessments and insufficient detection of malicious user behavior. This paper introduces a robust four‐layer architectural framework with the blockchain layer, edge computing service layer, cloud computing service layer, and terminal user application layer leveraging blockchain technology for authentication and trust evaluation. Blockchain technology transforms FinTech data into linked data, ensuring data security and decentralization during information transfers. A novel hybrid consensus protocol combining Proof of Elapsed Time (PoET) and Proof of Stake (PoS) is introduced to enhance the efficiency and security of the blockchain. Extensive simulation experiments have demonstrated significant improvements in data security, reliability, and accuracy of trust assessments compared to existing methods. This paper presents a comprehensive solution for enhancing trust evaluation in FinTech, emphasizing timeliness, reliability, and non‐invasiveness of assessments.

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Publication Details

Journal
Concurrency and Computation Practice and Experience
Published
2025-01-16
DOI
https://doi.org/10.1002/cpe.8357
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
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article

Blockchain‐Powered Framework for Trust Enhancement in FinTech: A Comprehensive Trust Evaluation Approach

Bhagyashree Hambarde, Priya Parkhi, Rupali Vairagade, Yogita Hande
1 citations
Concurrency and Computation Practice and Experience
Blockchain Technology Applications and Security
3.25
article

Blockchain‐Powered Framework for Trust Enhancement in FinTech: A Comprehensive Trust Evaluation Approach

Bhagyashree Hambarde, Priya Parkhi, Rupali Vairagade, Yogita Hande
article en
1 citations

Abstract

ABSTRACT The rapid advancement of financial technology (FinTech) has led to the integration of advanced technologies like data science, blockchain, cloud computing, and artificial intelligence. However, trust evaluation remains a critical challenge in dynamic landscape. Existing trust evaluation methods often neglect key aspects of timeliness, reliability, and non‐invasiveness, leading to imprecise trust assessments and insufficient detection of malicious user behavior. This paper introduces a robust four‐layer architectural framework with the blockchain layer, edge computing service layer, cloud computing service layer, and terminal user application layer leveraging blockchain technology for authentication and trust evaluation. Blockchain technology transforms FinTech data into linked data, ensuring data security and decentralization during information transfers. A novel hybrid consensus protocol combining Proof of Elapsed Time (PoET) and Proof of Stake (PoS) is introduced to enhance the efficiency and security of the blockchain. Extensive simulation experiments have demonstrated significant improvements in data security, reliability, and accuracy of trust assessments compared to existing methods. This paper presents a comprehensive solution for enhancing trust evaluation in FinTech, emphasizing timeliness, reliability, and non‐invasiveness of assessments.

Concurrency and Computation Practice and ExperienceVol. 37(3)
C. U. Shah University (IN), Institute of Management Technology (IN), Nagpur Institute of Technology (IN), Rama University (IN), MIT World Peace University (IN), Raisoni Group of Institutions (IN)
Openalex Percentile: Top 11%
Blockchain Technology Applications and Security
3.25
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Blockchain‐Powered Framework for Trust Enhancement in <scp>FinTech</scp>: A Comprehensive Trust Evaluation Approach — Bhagyashree Hambarde, Priya Parkhi, et al. · Concurrency and Computation Practice and Experience (2025) | TGRS Research Map | TGRS