基於定位Merkle Tree之存證漏失的區塊鏈智能合約自動賠償機制

dc.contributor黃冠寰zh_TW
dc.contributorHwang, Gwan-Hwanen_US
dc.contributor.author張宇倫zh_TW
dc.contributor.authorChang, Yu-Lunen_US
dc.date.accessioned2024-12-17T03:37:17Z
dc.date.available2024-01-24
dc.date.issued2024
dc.description.abstract在這篇論文中我們提出一種能用於公有區塊鏈的抗議合約,它能有效解決存證漏失的問題,並在去中心化系統中實現自我驗證與澄清的功能。這不僅降低了使用者的操作複雜性和費用,同時也減少了維運技術的成本。其輕量化設計和高效能表現,使其在成本消耗以及普適性等方面具有很大的進展。未來將持續進行創新和實驗,提升此抗議合約的適應性,以滿足實務上更變化多端的需求。期許這樣的智能合約能提供便利和效率,並在現有的區塊鏈技術中被廣泛應用。我們也將探索更多可能性,以進一步優化和完善這個智能合約。zh_TW
dc.description.abstractIn this thesis, we propose an automatic compensation mechanism that can be used for public blockchains. It effectively solves the problem of missing attestation and achieves the functions of self-verification and clarification in a decentralized system. This not only reduces the complexity and cost of user operations, but also reduces the cost of maintenance technology. Its lightweight design and high-performance make it greatly advanced in terms of cost consumption and universality. We will continue to innovate and experiment in the future, enhancing the adaptability of this automatic compensation mechanism to meet the more diverse needs in practice. We hope that such smart contracts can provide convenience and efficiency and be widely applied in existing blockchain technology. We will also explore more possibilities to further optimize and perfect this smart contract in the future.en_US
dc.description.sponsorship資訊工程學系zh_TW
dc.identifier60847003S-44649
dc.identifier.urihttps://etds.lib.ntnu.edu.tw/thesis/detail/0015a6c3d7a58c58c35cce084e453d9c/
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/123687
dc.language中文
dc.subject智能合約zh_TW
dc.subject抗議合約zh_TW
dc.subject存證漏失zh_TW
dc.subjectsmart contracten_US
dc.subjectautomatic compensation mechanismen_US
dc.subjectmissing attestationen_US
dc.title基於定位Merkle Tree之存證漏失的區塊鏈智能合約自動賠償機制zh_TW
dc.titleThe Automatic Compensation Mechanism for Blockchain Smart Contracts Based on Tp-Merkle Tree for Proof of Missing Attestationen_US
dc.type學術論文

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
202400044649-106977.pdf
Size:
1.54 MB
Format:
Adobe Portable Document Format
Description:
學術論文

Collections