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http://dx.doi.org/10.22156/CS4SMB.2020.10.10.065

Data Volume based Trust Metric for Blockchain Networks  

Jeon, Seung Hyun (School of Electrical Engineering, Korea Advanced Institute of Science and Technology)
Publication Information
Journal of Convergence for Information Technology / v.10, no.10, 2020 , pp. 65-70 More about this Journal
Abstract
With the appearance of Bitcoin that builds peer-to-peer networks for transaction of digital content and issuance of cryptocurrency, lots of blockchain networks have been developed to improve transaction performance. Recently, Joseph Lubin discussed Decentralization Transaction per Second (DTPS) against alleviating the value of biased TPS. However, this Lubin's trust model did not enough consider a security issue in scalability trilemma. Accordingly, we proposed a trust metric based on blockchain size, stale block rate, and average block size, using a sigmoid function and convex optimization. Via numerical analysis, we presented the optimal blockchain size of popular blockchain networks and then compared the proposed trust metric with the Lubin's trust model. Besides, Bitcoin based blockchain networks such as Litecoin were superior to Ethereum for trust satisfaction and data volume.
Keywords
DTPS; Trust Metric; Blockchain Size; Stale Block Rate; Average Block Size; Convex Optimization;
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