A Data Retrieval Protocol defines the standardized rules and methods for accessing and extracting information from a decentralized network or data source. This protocol ensures consistent and verifiable access to data stored on blockchains or distributed ledgers. It enables applications to query and receive specific data points reliably. Such protocols are essential for building functional decentralized applications that depend on external or historical data.
Context
News often discusses Data Retrieval Protocols in the context of oracles and decentralized data indexing services. The accuracy and latency of data provided by these protocols are critical for the correct operation of many decentralized finance applications. Key debates address the decentralization of data sources and the prevention of data manipulation. Future developments aim to enhance the efficiency and security of these protocols, enabling more complex and real-time data feeds for smart contracts.
This research introduces Robust Distributed Arrays, a novel distributed data structure that secures the DAS networking layer against malicious actors without relying on an honest majority assumption.
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