Hashing algorithms and their applications

• What is hashing compared to in the definition?

  A blender
• Why is hashing important for password storage?

  It protects user security by hiding passwords
• What is the benefit of verifying data integrity?

  It prevents unauthorized modifications
• What is the security level of SHA-256?

  Secure
• What is the goal of uniqueness in hashing?

  Different data yields distinct hash codes
• What is one purpose of hashing algorithms?

  Creating unique identifiers
• What is the hash size of MD5?

  128 bits
• Why is speed important in a hashing algorithm?

  It processes data efficiently
• What does consistency in a hashing algorithm ensure?

  Same input produces the same hash
• What factors should be considered when choosing a hashing algorithm?

  • Security needs
  • Application requirements
  • Hash size
• How does the security level of SHA-3 compare to SHA-256?

  SHA-3 is more secure than SHA-256
• What is the hash size of SHA-3?

  256-512 bits
• What is a key characteristic of a good hashing algorithm?

  Consistency
• What might replace SHA-256 in the future?

  SHA-3
• What happens if a password database is compromised when using hashing?

  Attackers see hashed codes instead of passwords
• How does a good hashing algorithm handle large files?

  Hashes them quickly
• What does comparing a file's hash with the original ensure?

  It confirms the file's integrity
• How do websites use hashing for password storage?

  They store hashed passwords securely
• What is the hash size range for SHA-3?

  256-512 bits
• What are the key characteristics of a good hashing algorithm?

  • Consistency: Same hash for same input
  • Uniqueness: Minimizes hash collisions
  • Speed: Efficient data processing
  • Determinism: Same input yields same hash
  • Robustness: Resists intentional collision attacks
• How does hashing enhance password security in databases?

  It prevents access to original passwords
• What does determinism in a hashing algorithm guarantee?

  Same input always results in the same hash
• What is a computational cost limitation of hashing?

  Time-consuming for large data sets
• How does hashing enhance security?

  By storing hashes instead of plain text
• What is the hash size of SHA-256?

  256 bits
• What is the purpose of hashing a document with a private key?

  To create a digital signature
• What is one application of hashing?

  Password storage
• What does uniqueness in a hashing algorithm minimize?

  Hash collisions
• How does hashing provide uniqueness?

  By creating unique identifiers for files
• What does hashing ensure regarding data integrity?

  Data remains unchanged during storage
• What happens when someone tries to access user accounts?

  The system checks the hashed password
• What are the advantages of hashing?

  • Security: Protects passwords and sensitive data
  • Data Integrity: Ensures data remains unchanged
  • Uniqueness: Provides unique identifiers for files
  • Speed: Enables rapid hash calculations
• Why are the characteristics of a good hashing algorithm important?

  They ensure reliable data identification and security
• Why are unique identifiers useful in databases?

  For quickly searching or sorting data
• What is a limitation of hashing related to data retrieval?

  Cannot reverse a hash to original data
• Why is MD5 considered outdated?

  It is deprecated
• How does robustness contribute to data integrity?

  Maintains integrity against malicious attempts
• What are the limitations of hashing?

  • One-way function: Cannot reverse a hash
  • Hash collisions: Multiple inputs may produce same hash
  • Security issues: Weak algorithms can compromise security
  • Computational cost: Time-consuming for large data sets
• How can weak algorithms affect hashing?

  They can compromise security
• What does comparing hashes help verify?

  If the data remained unchanged