Introduction to Hashing

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Questions and Answers

What is a primary advantage of using SHA-256, SHA-384, and SHA-512 over MD5 and SHA-1?

  • They are universally accepted standards.
  • They require less memory.
  • They offer better security. (correct)
  • They are easier to compute.

Which property ensures that it is computationally infeasible to find two different inputs that produce the same hash?

  • Hash agility
  • Collision resistance (correct)
  • Second-preimage resistance
  • Pre-image resistance

What is MurmurHash primarily designed for?

  • High security in cryptographic applications.
  • Storing sensitive data securely.
  • Speed and uniformity in hash tables. (correct)
  • Generating keys for encryption.

In which scenario is Jenkins Hash particularly applicable?

<p>In embedded systems where speed and memory efficiency are priorities. (D)</p> Signup and view all the answers

Which aspect of hashing is crucial for ensuring the security of sensitive data like passwords?

<p>Applying collision resistance techniques. (A)</p> Signup and view all the answers

What is the main purpose of a hash function in data retrieval operations?

<p>To map data of arbitrary size to fixed-size values (B)</p> Signup and view all the answers

Which property of a hash function ensures that the same input will always produce the same output?

<p>Deterministic (C)</p> Signup and view all the answers

What type of data structure employs a hash function to store key-value pairs?

<p>Hash table (A)</p> Signup and view all the answers

Which of the following best describes a collision in a hash table?

<p>When two different keys map to the same index (D)</p> Signup and view all the answers

What strategy involves storing a linked list at each index of a hash table to handle collisions?

<p>Chaining (D)</p> Signup and view all the answers

Which application of hashing is specifically related to ensuring data integrity and security?

<p>Cryptography (B)</p> Signup and view all the answers

What is a significant drawback of the MD5 hashing algorithm?

<p>It is now considered insecure due to vulnerabilities (B)</p> Signup and view all the answers

What effect does a small change in input have on the output of a well-designed hash function?

<p>Significant change in the output (A)</p> Signup and view all the answers

Flashcards

SHA-256

A cryptographic hash function that offers stronger security than MD5 and SHA-1.

MurmurHash

A cryptographic hash function known for its speed and uniformity, often used for hash tables and data structures.

Pre-image resistance

It should be computationally infeasible to find an input that produces a specific hash.

Collision resistance

It should be computationally infeasible to find two different inputs that produce the same hash.

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Hashing

A powerful technique for fast data retrieval, storage, and manipulation.

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Hash function

A function that takes data as input and produces a fixed-size hash value as output.

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Hash Table

A data structure that stores key-value pairs. It uses a hash function to determine the location of a value based on its key.

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Hash Collision

Occurs when two different keys produce the same hash value, leading to a collision in the hash table.

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Separate chaining

A technique used to handle hash collisions. It creates a linked list at each index to store all key-value pairs that map to that index.

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Open Addressing

A technique used to handle hash collisions. When a collision occurs, the algorithm finds an empty slot in the table to store the value.

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MD5

A cryptographic hash function used for data integrity and security, but now considered insecure due to vulnerabilities.

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Study Notes

Introduction to Hashing

  • Hashing maps data of arbitrary size to fixed-size values.
  • These fixed-size values are called hash values, hash codes, or digests.
  • Hash functions speed up data retrieval.
  • For large datasets, hash function output indexes data in a hash table.
  • This enables fast lookup, insertion, and deletion.

Hash Function Properties

  • Deterministic: Same input yields same output.
  • Efficiency: Fast hash value computation is crucial.
  • Uniformity: Distributes inputs evenly to minimize collisions.
  • Avalanche effect: Small input changes lead to significant output changes, enhancing attack resistance.

Hash Table Structure

  • A hash table stores key-value pairs.
  • It uses a hash function to calculate an index for the key.
  • The index locates the value in the table.

Hash Collisions

  • Collisions occur when different keys map to the same index.
  • Separate chaining: Each index stores a linked list of colliding key-value pairs.
  • Open addressing: Probes for the next available slot if a collision occurs.
  • Chaining allows for larger tables and reduced wasted space, usually leading to better performance.

Applications of Hashing

  • Data Structures: Hash tables implement dictionaries, sets, and caches.
  • Database Indexing: Crucial for fast record lookup.
  • Cryptography: Used for data integrity and security (e.g., verifying downloaded files).
  • Password Storage: Passwords are frequently hashed to protect them.
  • Content Addressing: Maps data to addresses for efficient network distribution.

Common Hashing Algorithms

  • MD5: A widely used cryptographic hash, now considered insecure due to vulnerabilities.
  • SHA-1: Another cryptographic hash algorithm, deemed less secure than newer options.
  • SHA-256, SHA-384, SHA-512: More secure SHA variants used extensively.
  • MurmurHash: Known for speed and uniformity, often used in hash tables and data structures.
  • Jenkins Hash: Favored in embedded systems for speed and memory efficiency.

Security Considerations for Hashing

  • Pre-image resistance: Finding an input for a specific hash is computationally infeasible.
  • Second-preimage resistance: Finding a second input with the same hash as a given input is computationally infeasible.
  • Collision resistance: Finding two different inputs with the same hash is computationally infeasible.
  • Cryptographic hash functions are specifically designed for security against various attacks.

Summary

  • Hashing is a versatile technique for rapid data retrieval, storage, and manipulation.
  • Numerous hash functions exist with differing speed, security, and other attributes.
  • Hash tables and collision resolution are essential aspects of hashing implementation.
  • Security is critical when hashing sensitive data, such as passwords.

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