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  • Open Access

    ARTICLE

    ORTHRUS: A Model for a Decentralized and Fair Data Marketplace Supporting Two Types of Output

    Su Jin Shin1, Sang Uk Shin2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2787-2819, 2025, DOI:10.32604/cmes.2025.072602 - 26 November 2025

    Abstract To reconstruct vehicle accidents, data from the time of the incident—such as pre-collision speed and collision point—is essential. This data is collected and generated through various sensors installed in the vehicle. However, it may contain sensitive information about the vehicle owner. Consequently, vehicle owners tend to be reluctant to provide their vehicle data due to concerns about personal information exposure. Therefore, extensive research has been conducted on secure vehicle data trading models. Existing models primarily utilize centralized approaches, leading to issues such as single points of failure, data leakage, and manipulation. To address these problems,… More >

  • Open Access

    ARTICLE

    Blockchain-Based Secure and Fair IoT Data Trading System with Bilateral Authorization

    Youngho Park1, Mi Hyeon Jeon2, Sang Uk Shin3,*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1871-1890, 2023, DOI:10.32604/cmc.2023.039462 - 30 August 2023

    Abstract These days, data is regarded as a valuable asset in the era of the data economy, which demands a trading platform for buying and selling data. However, online data trading poses challenges in terms of security and fairness because the seller and the buyer may not fully trust each other. Therefore, in this paper, a blockchain-based secure and fair data trading system is proposed by taking advantage of the smart contract and matchmaking encryption. The proposed system enables bilateral authorization, where data trading between a seller and a buyer is accomplished only if their policies,… More >

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