Merkle Tree

GPTKB entity

Properties (53)
Predicate Object
gptkbp:instanceOf Data Structure
gptkbp:hasSpecialty Binary tree
Facilitates data sharing
Facilitates compliance with regulations
Can be implemented in various programming languages
Supports secure data storage
Supports data analytics
Allows for quick updates
Can be used in IoT applications
Can be used in artificial intelligence systems
Can be used in cloud storage solutions
Can be used in data archiving
Can be used in digital forensics
Can be used in distributed systems
Can be used in file systems
Can be used in financial services
Can be used in identity verification
Can be used in machine learning applications
Can be used in supply chain management
Can be visualized as a tree structure
Changes in data affect the root hash
Each leaf node represents a transaction
Efficient verification
Enables data interoperability
Enables efficient block verification
Enables secure data sharing
Enables secure transactions
Facilitates consensus algorithms
Facilitates data integrity checks
Hash-based structure
Helps in data deduplication
Leaf nodes contain data
Non-leaf nodes contain hashes
Provides integrity verification
Reduces data redundancy
Root hash represents the entire dataset
Supports data integrity in distributed ledgers
Supports data provenance
Supports digital signatures
Supports efficient data synchronization
Supports large data sets
Supports secure voting systems
Used in cryptocurrencies
Used in peer-to-peer networks
Used in smart contracts
Used in version control systems
Can_be_used_in_healthcare_data_management
Enables_efficient_data_retrieval
Facilitates_audit_trails
Supports_decentralized_applications_(dApps)
https://www.w3.org/2000/01/rdf-schema#label Merkle Tree
gptkbp:usedIn Blockchain
Cryptography