Artikel ; Online: Reaching consensus for membership dynamic in secret sharing and its application to cross-chain
High-Confidence Computing, Vol 3, Iss 3, Pp 100131- (2023)
2023
Abstract: The communication efficiency optimization, censorship resilience, and generation of shared randomness are inseparable from the threshold cryptography in the existing Byzantine Fault Tolerant (BFT) consensus. The membership in consensus in a blockchain ... ...
| Abstract | The communication efficiency optimization, censorship resilience, and generation of shared randomness are inseparable from the threshold cryptography in the existing Byzantine Fault Tolerant (BFT) consensus. The membership in consensus in a blockchain scenario supports dynamic changes, which effectively prevents the corruption of consensus participants. Especially in cross-chain protocols, the dynamic access to different blockchains will inevitably bring about the demand for member dynamic. Most existing threshold cryptography schemes rely on redefined key shares, leading to a static set of secret sharing participants. In this paper, we propose a general approach to coupling blockchain consensus and dynamic secret sharing. The committee performs consensus confirmation of both dynamic secret sharing and transaction proposals. Our scheme facilitates threshold cryptography membership dynamic, thus underlying support for membership dynamic of threshold cryptography-based BFT consensus schemes. We instantiate a dynamic HotStuff consensus to demonstrate the effectiveness of the scheme. After the correctness and security proof, our scheme achieves the secrecy and integrity of the threshold key shares while ensuring consensus liveness and safety. Experimental results prove that our scheme obtains dynamic membership with negligible overhead. |
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| Schlagwörter | Threshold cryptography ; Byzantine fault tolerant ; Cross-chain ; Consensus ; Dynamic secret sharing ; Electronic computers. Computer science ; QA75.5-76.95 |
| Thema/Rubrik (Code) | 303 |
| Sprache | Englisch |
| Erscheinungsdatum | 2023-09-01T00:00:00Z |
| Verlag | Elsevier |
| Dokumenttyp | Artikel ; Online |
| Datenquelle | BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl) |
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