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  • Preface
    • Motivation
    • Roadmap’s
  • Introduction to Blockchain
    • A Brief History
    • Growth of Blockchain
    • Structure of Blockchain
    • Types of Blockchain
    • Key Technologies of Blockchain
    • Features of Blockchain
    • How Blockchain Works ?
    • Implementation of Blockchain
    • Summary
  • Components of Blockchain Architecture
    • Distributed Ledger
    • Blocks
    • Transaction
    • Chain
    • Peer-to-Peer Network
    • Blockchain Layers
    • Off-Chain & On-Chain
    • Wallet
    • Mining
    • Tokens
    • Assets
    • State Channels
    • Sidechains
    • Oracles on Blockchain
    • Atomic Swaps
    • Decentralized Identity (DID)
    • Blockchain Data Storage
    • Interoperability
    • Data structures for Scaling Blockchain
    • Maximal Extractable Value (MEV)
  • Consensus Mechanisms
    • Proof of Work (PoW)
      • Implemation Using Rust
    • Proof of Stake (PoS)
    • Proof of Burn (PoB)
    • Proof of Capacity (PoC)
    • Proof of Activity (PoAc)
    • Proof of Weight (PoWe)
    • Proof of Luck (PoL)
    • Proof of Ownership (PoO)
    • Proof of Existence (PoE)
    • Proof of Believability (PoBe)
    • Proof of History (PoH)
    • Proof of Authority (PoA)
    • Proof of Elapsed Time (PoET)
  • Cryptographics
    • Encryption & Decryption
      • Symmetric Encryption
      • Asymmetric Encryption
      • Key Management and Exchange
      • Implementation
    • Cryptographic Hashing
      • Secure Hash Algorithms (SHA)
      • Message Digest Algorithms
      • Ethash
      • Blake2
      • SCrypt
      • RIPEMD-160
    • Digital Signature
      • Digital Signature Algorithms
      • Digital Signature in Blockchain
    • Zero-Knowledge Proofs (ZKPs)
      • Types of Zero-Knowledge Proof and Protocols
      • A Case Study of Polygon Platform
    • Multi-Party Computation (MPC)
    • Cryptanalysis
    • Practical Implementation
  • Decentralized Application (DApp)
    • Design and UX in Web3
  • Smart Contract
    • Development Tools
    • Solidity
    • Testing Smart Contract
    • Developing Smart Contract
    • Interacting & Deploying with Smart Contract
    • Verifying Smart Contracts
    • Upgrading Smart Contracts
    • Securing Smart Contract
    • Smart Contract Composability
    • Testnet and Mainnet
    • Blockchain Platform Using Smart Contract
    • Application of Smart Contract
    • Practical Implementation
  • Blockchain Platforms
    • Ethereum
      • Ethereum Virtual Machine (EVM)
      • ETHER and GAS
      • Ethereum transaction
      • Ethereum Accounts
      • Ethereum Stacking
      • Ethereum Network
      • Ethereum Scaling Solutions
      • Ethereum Use-Cases
      • Getting Started with Ethereum
      • Ethereum Ecosystem and Support
    • Solana
      • Solana Architecture
        • Solana Account Model
        • Solana Wallet
        • Transactions and Instructions
        • Solana Programs
        • Program Derived Address (PDA)
        • Cross Program Invocation (CPI)
        • Tokens on Solana
        • Clusters and Public RPC Endpoints
        • Transaction Confirmation & Expiration
        • Retrying Transactions
        • Versioned Transactions
        • Address Lookup Tables
        • State Compression
        • Actions and Blinks
      • Solana Developments
      • Solana Client
      • Advanced Solana
      • Solana Scaling and Performance Architecture
      • Solana Solutions and cases
      • Practical Implemenation
    • Binance Smart Chain (BSC)
      • Create a BEP20 Token
    • Hyperledger Fabric
    • Cosmos
    • Polkadot
    • Quorum
    • Polygon
    • Algorand
    • Corda
    • Avalanche
    • TRON
    • Summary
  • Decentralized Finance (DeFi)
    • DeFi Components
    • DeFi Protocols
    • DeFi Platforms
    • DeFi Risk Classification
      • Infrastructure-layer Attacks
      • Smart Contract Layer-attacks
      • Application Layer-attacks
      • DeFi Risks
    • DeFi and Blockchain
    • DeFi Impact
  • Decentralized Ecosystem and Digital Innovation
    • Layer 2 Scaling Fundamental
    • Tokenomics
    • Cryptocurrency
    • Quantative Trading
    • NFTs
    • GameFi
    • Metaverse
  • Blockchain as a Service (BaaS)
    • Building Fullstack Blockchain Platform
    • Decentralized Digital Identity
    • Build a Cryptocurrencies Exchange
    • Play-to-Earn Gaming
    • Solana Token Airdrop Manager
    • Smart Contract Development on Solana with Rust
    • Quantitative Trading Platform
    • Insurances protocols
    • Flash Loans
    • Asset Management
    • Tokenized Derivatives
    • Automated Market Makers (AMMs)
    • Staking
    • Lending and Borrowing Platforms
    • Yield Farming
    • Stablecoin System
    • Security Token Offerings (STOs)
    • Initial Coin Offerings (ICOs)
    • On-Chain Voting Systems
    • Decentralized Autonomous Organizations (DAOs)
    • NFT Marketplaces
    • Provenance Verification
    • Supply Chain Tracking
    • Commodities Tokenization
    • Real Estate Tokenization
    • Digital Certificates
    • KYC (Know Your Customer)
  • Blockchain Development Across Languages
    • Blockchain using Go(Golang)
    • Blockchain using Rust
    • Blockchain using Python
    • Blockchain using Cairo
  • Distributed Systems & Infrastructure Technology
    • Classification of Distributed Systems
    • Networked systems versus Distributed systems
    • Parallel systems vs Distributed systems
    • Distributed versus Decentralized systems
    • Processes of Distributed Systems
    • Architecture of Distributed systems
    • Infrastructure Technologies
  • Distributed System Patterns
    • Distributed Agreements Algorithms
      • HoneyBadgerBFT
    • Data Replications
    • Data Partition
    • Consistency
    • Distributed Time
    • Cluster Management
    • Communication between Nodes
    • Fault Tolerance and Resilience
      • How to design better fault tolerance systems
      • Resilience Patterns
    • Coordination systems
      • Clock synchronization
    • Security
      • Trust in distributed systems
      • Design of Principal Security
      • Security threats, policies, and mechanisms
      • Authentication and Authorizations
      • Cryptography
      • Monitoring in Security
  • Distributed System Design
    • Page 1
    • Distributed Shared Memory
    • Distributed Data Management
    • Distributed Knowledge Management
    • Distributed Ledger
  • FAQs
  • Support and Community
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On this page
  • Key Properties of Cryptographic Hash Functions
  • Popular Cryptographic Hash Algorithms
  • Applications of Cryptographic Hashing
  • Why Cryptographic Hashing is Important
  • Limitations
  1. Cryptographics

Cryptographic Hashing

PreviousImplementationNextSecure Hash Algorithms (SHA)

Last updated 8 months ago

Crypto hashing refers to the process of converting an input (or “message”) into a fixed-size string of bytes using a cryptographic hash function. The output, typically called the “hash value” or “digest,” is unique to each unique input. Even a small change in the input will produce a completely different hash, a property known as the avalanche effect. Cryptographic hashing is a fundamental component of many security protocols and blockchain technologies.

Key Properties of Cryptographic Hash Functions

A good cryptographic hash function has the following essential properties:

  1. Deterministic: The same input will always produce the same hash output, ensuring consistency.

  2. Fast Computation: Hashing should be computationally efficient, allowing quick processing of large amounts of data.

  3. Pre-image Resistance: Given a hash output, it should be computationally infeasible to find the original input. This property prevents attackers from reversing the hash function.

  4. Small Changes in Input Produce Large Changes in Output: A tiny change in the input (even a single bit) should produce a drastically different hash output, a property known as the avalanche effect.

  5. Collision Resistance: It should be computationally infeasible to find two different inputs that produce the same hash output. This is crucial for maintaining the integrity of data.

  6. Second Pre-image Resistance: It should be difficult to find another input that produces the same hash as a given input, even if the first input is known.

Popular Cryptographic Hash Algorithms

Everything explain in Subpages and everything implemting using Golang or Rust

Applications of Cryptographic Hashing

  1. Data Integrity Verification: Hashing is used to ensure data integrity by comparing the hash of original data with the hash of received data. If the hashes match, the data has not been tampered with.

  2. Digital Signatures and Certificates: Hash functions are used in creating digital signatures, where the hash of a message is encrypted with a private key to ensure authenticity and integrity.

  3. Password Hashing: When storing passwords, systems store hashes instead of the plaintext passwords. When a user logs in, the system hashes the entered password and compares it to the stored hash.

  4. Blockchain: Cryptographic hashes are fundamental to blockchain technology, where they link blocks together, ensure data integrity, and provide proof-of-work mechanisms.

  5. Checksum Generation: Hashes are used to create checksums that help in error detection in data storage and transmission.

  6. Message Authentication Codes (MACs): Hash functions are used in MACs, which verify the integrity and authenticity of a message by creating a hash using a secret key.

Why Cryptographic Hashing is Important

  • Security: Provides a secure way to verify data integrity without revealing the data itself.

  • Speed: Hash functions are designed to be fast, enabling quick checks and operations on large datasets.

  • Simplicity: Hashing provides a simple yet powerful tool for verifying data integrity, essential for many cryptographic protocols.

Limitations

  • Collision Vulnerabilities: Some older algorithms like MD5 and SHA-1 are susceptible to collisions, making them insecure for modern use.

  • No Encryption: Hashing does not encrypt data; it only provides a unique representation of the data. It is not reversible, unlike encryption.

Secure Hash Algorithms stands for Sha
Message Digest
Ethash
Blake2
SCrypt
RIPEMD-160