Hybrid chain and dependability
- Authors
- Kancharla; A.; Ke; Z.; Park; N.; Kim, Hyeyoung; H.
- Issue Date
- 2020
- Publisher
- Association for Computing Machinery, Inc
- Keywords
- Blockchain; Dependability; Ethereum; Hybrid-chain
- Citation
- BSCI 2020 - Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, Co-located with AsiaCCS 2020, pp.204 - 209
- Journal Title
- BSCI 2020 - Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, Co-located with AsiaCCS 2020
- Start Page
- 204
- End Page
- 209
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/12532
- DOI
- 10.1145/3384943.3409439
- ISSN
- 0000-0000
- Abstract
- The hybrid chain is proposed in this paper to investigate on a new blockchain network that is to be built across private and main nets, namely, a hybrid chain. Note that the hybrid chain is distinguished from the on/off-balanced chain such that the hybrid chain is across two different (e.g., Hypercubes private net vs. Ethereum main net) while the on/off-balanced chain across on-chain and off-chain (e.g., Ethereum main net vs. cloud). It is essential to build a dependable interface in between private and main nets if business to consumer (or vice versa) transactions are demanded for instance. In the course of interfacing across private and main nets, dependability is to be considered as one of the most critical design factors in order to ensure private transactions stay within the private territory and publicized transactions stay public in the main net, and further in order to facilitate a seamless yet dependable execution of transactions across the border. In this context, the efficacy of the privacy of the private net side and the publicity of the main net side will be addressed and modeled by tracing a transaction's stochastic process at a steady state. A protype for an isolated testing across the Ethereum and Hypercubes open source for validation purpose is proposed along with extensive parametric simulations. © 2020 ACM.
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