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Kentaroh Toyoda

Researcher at Keio University

Publications -  72
Citations -  1115

Kentaroh Toyoda is an academic researcher from Keio University. The author has contributed to research in topics: Spectrogram & Heartbeat. The author has an hindex of 13, co-authored 65 publications receiving 678 citations. Previous affiliations of Kentaroh Toyoda include Agency for Science, Technology and Research & Kanagawa Institute of Technology.

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Journal ArticleDOI

A Novel Blockchain-Based Product Ownership Management System (POMS) for Anti-Counterfeits in the Post Supply Chain

TL;DR: This paper proposes a novel product ownership management system (POMS) of RFID-attached products for anti-counterfeits that can be used in the post supply chain and implements a proof-of-concept experimental system employing a blockchain-based decentralized application platform, Ethereum.
Proceedings ArticleDOI

Mechanism Design for An Incentive-aware Blockchain-enabled Federated Learning Platform

TL;DR: A novel method using mechanism design, which is an economic approach to realize desired objectives under the situation that participants act rationally, is presented to introduce repeated competition for FL so that any rational worker follows the protocol and maximize their profits.
Proceedings ArticleDOI

Identification of High Yielding Investment Programs in Bitcoin via Transactions Pattern Analysis

TL;DR: This paper proposes a number of features that can be extracted from transactions in Bitcoin that are based upon relating Bitcoin addresses with graph mining procedures and shows that about 83% of HYIP addresses are correctly classified while maintaining false positive rate less than 4.4%.
Journal ArticleDOI

A Novel Methodology for HYIP Operators’ Bitcoin Addresses Identification

TL;DR: A novel methodology is introduced, which efficiently collects a large number of the HYIP operators’ Bitcoin addresses and identifies them based upon a novel analysis of their transactions history, based upon the rate conversion technique that mitigates the effect of Bitcoin price volatility and the sampling technique that reduces the computational amount without sacrificing the classification performance.
Proceedings ArticleDOI

Multi-Class Bitcoin-Enabled Service Identification Based on Transaction History Summarization

TL;DR: A multiclass service identification scheme in Bitcoin based on novel transaction history summarization, which is the first to propose a multi-class identification, achieves 72 % of accuracy through performance evaluation.