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Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR)
IEEE Transactions on Medical Imaging ( IF 8.9 ) Pub Date : 4-18-2022 , DOI: 10.1109/tmi.2022.3168559
Abdul Haseeb Ahmed 1 , Qing Zou 1 , Prashant Nagpal 2 , Mathews Jacob 1
Affiliation  

Massive nodes in a blockchain form an off-chain distributed storage network to provide storage resources for users to meet large data upload requirements. However, this storage approach introduces security and performance issues. Firstly, it is difficult to guarantee the integrity of the data uploaded, and these data may be easily corrupted or lost. Moreover, uploading excessive duplicate data leads to a waste of storage resources. In this study, to address these issues, with a double-copy storage model for blockchain off-chain storage, a novel public auditing scheme with client-side deduplication is proposed to reduce the storage overhead of nodes and check the integrity of the off-chain data. Based on smart contracts, our scheme could realize efficient user ownership and off-chain data integrity verification automatically. In addition, both data encryption and deduplication are achieved based on message-locked encryption and an improved authenticator generation algorithm. Security analysis and experimental comparisons show that the proposed scheme is effective and practical.

中文翻译:


使用深度双线性无监督表示 (DEBLUR) 的动态成像



区块链中的海量节点形成链下分布式存储网络,为用户提供存储资源,满足大数据上传需求。然而,这种存储方法引入了安全和性能问题。首先,难以保证上传数据的完整性,这些数据很容易被破坏或丢失。而且,上传过多的重复数据会导致存储资源的浪费。在本研究中,为了解决这些问题,通过区块链链下存储的双副本存储模型,提出了一种具有客户端重复数据删除功能的新型公共审计方案,以减少节点的存储开销并检查链外的完整性。链数据。基于智能合约,我们的方案可以自动实现高效的用户所有权和链下数据完整性验证。此外,数据加密和重复数据删除都是基于消息锁定加密和改进的验证器生成算法来实现的。安全性分析和实验比较表明,该方案是有效且实用的。
更新日期:2024-08-28
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