 Data AuthenticityKen Huang ()
Chapter Chapter 9 in A Comprehensive Guide for Web3 Security, 2023, pp 177-200 from Springer Abstract: Abstract This chapter provides a comprehensive overview of Data Authenticity in Web3 ecosystem using blockchain oracles, including their types, examples of data oracle providers, use cases, design considerations, and security attacks with their countermeasures. The chapter covers five types of blockchain oracles, including input, output, cross-chain, compute-enabled, and other types. Examples of data oracle providers are provided, along with their use cases, such as decentralized finance, dynamic NFTs and gaming, insurance, enterprise supply chain management, prediction markets, and sustainability. The chapter also discusses the design considerations that should be taken into account when building blockchain oracles. Additionally, it covers security attacks on oracles, including insider attacks, oracle bribery, oracle front-running, and oracle extortion. Finally, countermeasures to these security attacks are presented to mitigate the risks of oracle manipulation and ensure the integrity of blockchain networks. This book chapter is a valuable resource for anyone interested in understanding the importance of oracles in blockchain networks and how to design and secure them effectively. Date: 2023 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-39288-7_9 Ordering information: This item can be ordered from DOI: 10.1007/978-3-031-39288-7_9 Access Statistics for this chapter More chapters in Future of Business and Finance from Springer |
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