A Blockchain Cross-Chain Transaction Method Based on Decentralized Dynamic Reputation Value Assessment

【Author】 Hu, Xiaoxuan; Ling, Yaochen; Hua, Jialin; Dong, Zhenjiang; Sun, Yanfei; Qi, Jin

【Source】IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT

【影响因子】4.758

【Abstract】With the vigorous development of the blockchain industry, cross-chain transactions can effectively solve the problem of "islands of value" caused by the inability to interact between different chains. However, security risks in reputation management caused by cross-chain transactions implemented through notary solutions have always existed. Consequently, this paper proposes a blockchain cross-chain transaction method based on decentralized dynamic reputation value assessment. The notary election phase addresses the issue of the continually changing behavior of notaries in actual transactions by designing a dynamic evaluation window mechanism based on an RNN. Moreover, a reputation-rating decay mechanism is introduced to avoid the problem of reputation value recovery caused by malicious notaries being inactive for a long time. Relative to alternative reputation assessment models, the proposed method offers a thorough evaluation of user behavior and effectively identifies malicious activities in real-time. Finally, the method was tested by deploying it on the Ethereum blockchain. Our approach offers more dynamic settings for window parameters, adapting to changes in notary behavior and reducing the number of detections within the same timeframe by approximately 59.14%. The weight factor settings are also optimized, allowing for adjustments based on specific situations to achieve accurate reputation values. Overall, this method not only enhances the security of cross-chain transactions but also reduces operational costs by 53.3% compared to traditional technologies.

【Keywords】Blockchains; Smart contracts; Security; Cryptocurrency; Vehicle dynamics; Protocols; Adaptation models; Cross-chain; reputation value; dynamic window; decentralization

【发表时间】2024 OCT

【收录时间】2024-11-18

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