Risk Management for Dynamic Metadata Exchange via a Trusted Third Party

Pöhn, Daniela

doi:10.5220/0005651702270234

Cited by 1 publication

(2 citation statements)

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“…To overcome the above shortcomings, DO usually utilizes a third party metadata management (TPMM) to dominate the metadata of the corresponding replications when finishing the outsourced procedures [6], [7]. As shown in Figure 1(b), DO first gets the metadata of all the replications by requesting multi-CSPs, and then sends entire metadata to a TPMM which is responsible for providing store and verification services.…”

Section: A Motivationmentioning

confidence: 99%

“…As we elaborated before, the basic solution to ensure the reliability of the replications is to involve a TPMM to store and verify the metadata of all replications. Therefore, we compare our method with the TPMM-based scheme [7]. In the comparison experiments, we take an additional physical machine to act as the TPMM and specify that all metadata of replications need to be stored and verified by the TPMM.…”

Section: ) Comparisons With State-of-the-artmentioning

confidence: 99%

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Blockchain-Based Outsourced Storage Schema in Untrusted Environment

et al. 2019

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Outsourced data, as significant service offered by the cloud service provider (CSP), can effectively facilitate the data owner (DO) overcoming the storage limitations on massive data. To ensure the availability of data, DO usually outsources the data replications to multiple CSPs (multi-CSPs) and utilizes a third party metadata management (TPMM) to dominate the metadata of the corresponding replications. However, during the outsourced procedures, DO can hardly confirm the confidence of the TPMM who may take some malicious behaviors to affect the reliability of data. Thus, DO inevitably faces data security issues caused by the over-reliance on the semi-trusted TPMM to manage the metadata of replications. In this paper, we focus on the problem of reliable outsourced data service among multi-CSPs in untrusted environment, that is, how to reliably store and verify the metadata of the data replications in untrusted multi-CSPs environment. To address the problem, we use the novel blockchain technology as a medium to build a trusted outsourced service platform. Moreover, we fully consider the innovative characteristics of blockchain including decentralized architecture, redundancy storage, collective maintenance, and tamper resistant to ensure the data cannot be changed maliciously. We first design a blockchain-based outsourced service framework for storing data replications in untrusted environment, which contains three key layers, that is, storage layer, verification layer, and blockchain layer. Then, we devise a novel concept of verification peer (VP) for maintaining metadata stored by a form of blockchain, and each of which holds the entire blockchain locally to prevent metadata from being maliciously tampered with. Finally, based on the proposed model, we introduce a collaborative algorithm invoked by VPs to store and verify the metadata of replications. We present a completed analysis and conduct extensive experiments on multi-CSPs scenario. The evaluation results demonstrate that our proposed approach achieves superior performance.INDEX TERMS Blockchain, collaborative, outsourced data, reliable storage, untrusted environment.

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Section: A Motivationmentioning

confidence: 99%

Section: ) Comparisons With State-of-the-artmentioning

confidence: 99%