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

IF 4.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xiaoxuan Hu;Yaochen Ling;Jialin Hua;Zhenjiang Dong;Yanfei Sun;Jin Qi
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引用次数: 0

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.
基于去中心化动态声誉价值评估的区块链跨链交易方法
随着区块链产业的蓬勃发展,跨链交易可以有效解决因不同链之间无法交互而造成的 "价值孤岛 "问题。然而,通过公证方案实现的跨链交易在信誉管理方面的安全隐患一直存在。因此,本文提出了一种基于去中心化动态信誉价值评估的区块链跨链交易方法。在公证人选举阶段,通过设计基于 RNN 的动态评估窗口机制,解决了公证人在实际交易中行为不断变化的问题。此外,还引入了信誉评级衰减机制,以避免因恶意公证人长期不活跃而导致的信誉值恢复问题。与其他声誉评估模型相比,所提出的方法能对用户行为进行全面评估,并能有效地实时识别恶意活动。最后,我们在以太坊区块链上对该方法进行了测试。我们的方法为窗口参数提供了更动态的设置,能适应公证人行为的变化,并将同一时间段内的检测次数减少了约 59.14%。权重因子设置也得到了优化,可根据具体情况进行调整,以实现准确的信誉值。总体而言,与传统技术相比,该方法不仅提高了跨链交易的安全性,还将运营成本降低了 53.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Network and Service Management
IEEE Transactions on Network and Service Management Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
15.10%
发文量
325
期刊介绍: IEEE Transactions on Network and Service Management will publish (online only) peerreviewed archival quality papers that advance the state-of-the-art and practical applications of network and service management. Theoretical research contributions (presenting new concepts and techniques) and applied contributions (reporting on experiences and experiments with actual systems) will be encouraged. These transactions will focus on the key technical issues related to: Management Models, Architectures and Frameworks; Service Provisioning, Reliability and Quality Assurance; Management Functions; Enabling Technologies; Information and Communication Models; Policies; Applications and Case Studies; Emerging Technologies and Standards.
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