Thanks to built-in immutability and persistence, the blockchain is often seen as a promising technology to certify information. However, when the information does not originate from the blockchain itself, its correctness cannot be taken for granted. To address this limitation, blockchain oracles services that validate external information before storing it in a blockchain were introduced. In particular, when the validation cannot be automated, oracles rely on humans that collaboratively cross-check external information. In this paper, we present Deep Thought, a distributed human-based oracle that combines voting and reputation schemes. An empirical evaluation compares Deep Thought with a state-of-the-art solution and shows that our approach achieves greater resistance to voters corruptions in different configurations.

DeepThought: A Reputation and Voting-Based Blockchain Oracle

Di Gennaro, Marco;Italiano, Lorenzo;Meroni, Giovanni;Quattrocchi, Giovanni
2022-01-01

Abstract

Thanks to built-in immutability and persistence, the blockchain is often seen as a promising technology to certify information. However, when the information does not originate from the blockchain itself, its correctness cannot be taken for granted. To address this limitation, blockchain oracles services that validate external information before storing it in a blockchain were introduced. In particular, when the validation cannot be automated, oracles rely on humans that collaboratively cross-check external information. In this paper, we present Deep Thought, a distributed human-based oracle that combines voting and reputation schemes. An empirical evaluation compares Deep Thought with a state-of-the-art solution and shows that our approach achieves greater resistance to voters corruptions in different configurations.
2022
Service-Oriented Computing: 20th International Conference, ICSOC 2022, Seville, Spain, November 29–December 2, 2022, Proceedings
978-3-031-20983-3
978-3-031-20984-0
Blockchain oracles
Data certification services
Voting mechanisms
Human-based services
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1231428
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 0
social impact