Splunk Inc.

Cisco Technology, Inc.

Nathaniel Gerard McKervey

Ryan Russell Moore

Siegfried Puchbauer

Antoine Toulme

Stephen Robert Luedtke

Jeffrey Yung Wu

Christopher Cordi

Melanie Marsollier

Min Zhang

Paul Jean André Bernier

Systems and methods are described to correlate different types of data obtained from a distributed ledger system. The distributed ledger system can generate transaction notifications, log data, and/or metrics data. At least some of the data generated by the distributed ledger system can be obtained by a data intake and query system via a distributed ledger system monitor. The data from the distributed ledger system can be stored in the data intake and query system and correlated. Based on the correlation, the data intake and query system can determine a history of a transaction in the distributed ledger system, relationships between components of the distributed ledger system, and/or an architecture of the distributed ledger system.

Correlating different types of data of a distributed ledger system

Systems and methods for ingesting data from distributed ledger systems. To ingest data from the distributed ledger systems, all or a portion of the distributed ledger systems can be assigned a connector. One or more connectors can be initialized for a particular distributed ledger system. For example, the data intake and query system can include a first connector that is initialized for a first distributed ledger system and a second connector that is initialized for a second distributed ledger system. The connectors can be initiated with processing schema that can indicate how the connectors ingest, enrich, filter, etc. data from the distributed ledger systems. All or a portion of the connectors can be initiated with different processing schemas. The connectors can obtain data from nodes of the distributed ledger systems according to the processing schemas and route the data to the data intake and query system.

Versioned connectors for data ingestion from distributed ledger systems

A machine data validation system can track and validate the integrity of machine data generated by machines. The system can generate hashes for the items and batch hashes that can be validated using an immutable data store, such one or more blockchains in a tiered blockchain structure. The system can store machine data and additional associated data in a first lightweight blockchain, and store grouped sets of the data in a second robust blockchain. The system can implement the tiered blockchain structure to efficiently store and reference the hashes to validate the machine data at different times or upon request from an end-user.

Data stream integrity in a tiered blockchain structure

Systems and methods are disclosed for authenticating a chunk of data identified in a query received by a data intake and query system. The data intake and query system receives a query that identifies a set of data and manner for processing the set of data, and identifies a chunk of data that is part of the set of data. The system generates a content identifier, such as a hash, of the chunk of data. The system further authenticates the chunk of data based on the generated content identifier and a content identifier stored by a distributed ledger system.

Authenticating data associated with a data intake and query system using a distributed ledger system

Systems and methods for decoding distributed ledger transactions by data intake and query systems. An example method includes: receiving a transaction of a distributed ledger, wherein the transaction includes transaction data and an identifier of an account of the distributed ledger; receiving a bytecode module, wherein the bytecode module is associated with the account of the distributed ledger; computing a bytecode digital fingerprint associated with the bytecode module; identifying, among a plurality of stored application binary interface (ABI) definitions, an ABI definition having an ABI digital fingerprint that matches the bytecode digital fingerprint; and producing decoded transaction data by decoding, using the identified ABI definition, the transaction data.

Decoding distributed ledger transaction records

A blockchain consortium network can be implemented in which nodes of one or more blockchains generate data for pipeline-based processing by a consortium pipeline system. The generated data can include private blockchain data, public blockchain data, and machine data, such as logs or operational metrics from the nodes. The data is collected from different network levels and can be transformed via pipeline processes of the consortium pipeline system to securely share data in the blockchain consortium network.

Securely sharing public and private blockchain data

A machine data validation system can track and validate the integrity of machine data generated by machines. The system can generate hashes for the items and batch hashes that can be validated using an immutable data store, such as a blockchain. The system can implement a tiered blockchain structure to efficiently store and reference the hashes to validate the machine data at different times or upon request from an end-user.

Data stream integrity using blockchain

Systems and methods are described to associate data from different nodes of a distributed ledger system. The nodes can generate transaction notifications, log data, and/or metrics data. At least some of the data generated by the nodes can be obtained by a data intake and query system via a distributed ledger system monitor. The data from the distributed ledger system can be stored in the data intake and query system and correlated. Based on an association between at least some of the data of the first node and at least some of the data of the second node, the data intake and query system can determine at least a partial history of a transaction in the distributed ledger system, relationships between components of the distributed ledger system, and/or an architecture of the distributed ledger system.

Growing community of inventors

Tallahassee, FL, United States of America

Nathaniel Gerard McKervey