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Author

Kenji Sato

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Open access 2021

Blockchain Technology for Secure Financial Transactions

Blockchain technology has emerged as a powerful solution for improving the security, transparency, and efficiency of financial transactions. Unlike traditional financial systems that depend on centralized intermediaries, blockchain uses decentralized distributed ledgers, cryptographic security, consensus mechanisms, and immutable records to ensure trust and data integrity. This study examines the role of blockchain in securing financial transactions and explores its core components, including distributed ledgers, cryptographic hashing, consensus protocols, smart contracts, and decentralized networks. The research analyzes how blockchain mitigates security threats such as fraud, double spending, identity theft, unauthorized access, and transaction tampering. It also investigates applications in digital payments, cross-border remittances, banking, trade finance, cryptocurrencies, and decentralized finance (DeFi). A blockchain-enabled financial transaction framework is proposed and evaluated using metrics such as security, transparency, scalability, efficiency, and fraud prevention. The findings indicate that blockchain significantly enhances transaction security and transparency while reducing costs and processing times. Although challenges such as scalability, regulatory issues, interoperability, and energy consumption remain, blockchain demonstrates strong potential to transform modern financial systems and support the development of secure, efficient, and decentralized financial ecosystems.

Kenji Sato, Aiko Yamamoto · 2 citations
Open access 2020

Federated Learning in Distributed Cloud Systems: Enhancing Privacy and Scalability for Machine Learning in Edge Computing

This paper investigates the implementation of FL in distributed cloud systems, highlighting its role in preserving data privacy and improving scalability, and analyzes various FL algorithms, such as Federated Averaging (FedAvg), assessing their effectiveness in edge computing contexts.

Kenji Sato · 0 citations
Review Open access 2023

Automated Feature Engineering Techniques for Tabular Data

The effectiveness of automated feature engineering is proved by experimental results that show that the method can enhance the accuracy and robustness of models as well as improve generalization with respect to the multiple benchmark datasets.

Yuki Tanaka, Kenji Sato · 0 citations
Review Open access 2023

Robotic Process Automation for Modern Enterprise Workflows

The authors establish the main issues associated with scalability, security, and maintainability and show future research perspectives of sustainable adoption of RPA in large-scale enterprise settings.

Kenji Sato, Aiko Yamamoto · 0 citations

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