Blockchain-Based Secure Credit Card Storage System  for E-Commerce

Süzen, Ahmet Ali; Duman, Burhan

doi:10.35377/saucis.04.02.895764

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…Blockchain technology uses advanced cryptographic algorithms to secure the security of the intelligent credit card system [31,32]. These cryptographic measures are essential in protecting the sensitive financial information of users.…”

Section: Safeguarding Sensitive Financial Datamentioning

confidence: 99%

Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0

Ali,

Razaque,

Yoo

et al. 2024

Logistics

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Background: The modern credit card system is critical, but it has not been fully examined to meet the unique financial needs of a constantly changing number of manufacturers and importers. Methods: An intelligent credit card system integrates the features of artificial intelligence and blockchain technology. The decentralized and unchangeable ledger of the Blockchain technology significantly reduces the risk of fraud while maintaining real-time transaction recording. On the other hand, the capabilities of AI-driven credit assessment algorithms enable more precise, effective, and customized credit choices that are specifically tailored to meet the unique financial profiles of manufacturers and importers. Results: Several metrics, including predictive credit risk, fraud detection, credit assessment accuracy, default rate comparison, loan approval rate comparison, and other important metrics affecting the credit card system, have been investigated to determine the effectiveness of modern credit card systems when using Blockchain technology and AI. Conclusion: The study of developing an intelligent scoring system for crediting manufacturers and importers of goods in Industry 4.0 can be enhanced by incorporating user adoption. The changing legislation and increasing security threats necessitate ongoing monitoring. Scalability difficulties can be handled by detailed planning that focuses on integration, data migration, and change management. The research may potentially increase operational efficiency in the manufacturing and importing industries.

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Section: Safeguarding Sensitive Financial Datamentioning

confidence: 99%

Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0

Ali,

Razaque,

Yoo

et al. 2024

Logistics

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“…This involves assigning unique user IDs, implementing strong authentication mechanisms, and regularly reviewing user access privileges. By enforcing strict access controls, organisations can ensure that only authorised individuals have access to cardholder data [50]. Encryption is also a crucial component of PCI DSS.…”

Section: Pci Dssmentioning

confidence: 99%

Enhancing Zero Trust Models in the Financial Industry through Blockchain Integration: A Proposed Framework

Daah,

Qureshi,

Awan

et al. 2024

Electronics

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As financial institutions navigate an increasingly complex cyber threat landscape and regulatory ecosystem, there is a pressing need for a robust and adaptive security architecture. This paper introduces a comprehensive, Zero Trust model-based framework specifically tailored for the finance industry. It encompasses identity and access management (IAM), data protection, and device and network security and introduces trust through blockchain technology. This study provides a literature review of existing Zero Trust paradigms and contrasts them with cybersecurity solutions currently relevant to financial settings. The research adopts a mixed methods approach, combining extensive qualitative analysis through a literature review and assessment of security assumptions, threat modelling, and implementation strategies with quantitative evaluation using a prototype banking application for vulnerability scanning, security testing, and performance testing. The IAM component ensures robust authentication and authorisation processes, while device and network security measures protect against both internal and external threats. Data protection mechanisms maintain the confidentiality and integrity of sensitive information. Additionally, the blockchain-based trust component serves as an innovative layer to enhance security measures, offering both tamper-proof verification and increased integrity. Through analysis of potential threats and experimental evaluation of the Zero Trust model’s performance, the proposed framework offers financial institutions a comprehensive security architecture capable of effectively mitigating cyber threats and fostering enhanced consumer trust.

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“…The most prominent feature of blockchain technology is that blockchain is decentralized and no third party has the right to enter or intrude into their data and perform restricted operations [7]. Zhou, Z. et al proposed a blockchain-based decentralized reputation system (BC-DRS), which was applied in ecommerce to effectively solve the fraud and forgery of reputation scores, and to provide the complete output of the end consumer throughout the process of managing the flow of resources, goods, information and services [8].…”

Section: Introductionmentioning

confidence: 99%

A Green Supply Chain Management Strategy for E-Commerce Based on Multiple Blockchain Technology

Qu,

Xu,

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, firstly, the e-commerce green supply chain management strategy of multivariate blockchain is explored, and digital assets are traded on the e-commerce supply chain platform through the information anchoring model. Secondly, the Diffie-Hellman algorithm is used to generate the key, the AES algorithm is used to encrypt the information, and the account data, transaction data and IoT data, are stored in three independent chains. Finally, the selection strategies of different e-commerce sales models and the green supply chain management strategies of e-commerce platforms are visually analyzed through numerical arithmetic examples. The results show that when E 0 = 10, it is optimized by the ecological R&D efforts of supply chain members. When E 0 = 50, the greenness of the product is decreasing. When it finally tends to the steady state, E ∞ C > E ∞ BR > E ∞ MR. The three green supply chain management models proposed in this study are conducive to enhancing consumer utility and in line with the sustainable development strategy.

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Blockchain-Based Secure Credit Card Storage System for E-Commerce

Cited by 6 publications

References 25 publications

Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0

Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0

Enhancing Zero Trust Models in the Financial Industry through Blockchain Integration: A Proposed Framework

A Green Supply Chain Management Strategy for E-Commerce Based on Multiple Blockchain Technology

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