Secure storage via information dispersal across network overlays
2016
- 32Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage32
- Downloads29
- Abstract Views3
Thesis / Dissertation Description
In this paper, we describe a secure distributed storage model to be used especially with untrusted devices, most notably cloud storage devices. The model does so through a peer-to-peer overlay and storage protocol designed to run on existing networked systems. We utilize a structured overlay that is organized in a layered, hierarchical manner based on the underlying network structure. These layers are used as storage sites for pieces of data near the layer at which that data is needed. This data is generated and distributed via a technique called an information dispersal algorithm (IDA) which utilizes an erasure code such as Cauchy Reed-Solomon (RS). Through the use of this IDA, the data pieces are organized across neighboring layers to maximize locality and prevent a compromise within one layer from compromising the data of that layer. Specifically, for a single datum to become compromised, a minimum of two layers would have to become compromised. As a result, security, survivability, and availability of the data is improved compared to other distributed storage systems. We present significant background in this area followed by an analysis of similar distributed storage systems. Then, an overview of our proposed model is given along with an in-depth analysis, including both experimental results and theoretical analysis. The recorded overhead (encoding/decoding times and associated data sizes) shows that such a scheme can be utilized with little increase in overall latency. Making the proposed model an ideal choice for any distributed storage needs.
Bibliographic Details
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