Hashing is a process of converting input data of arbitrary size into a fixed-size output, typically a sequence of characters or digits that represents the original data. The output, known as a hash value or message digest, is generated using a mathematical function called a hash function. Hashing is commonly used in computer science and cryptography to ensure data integrity, security, and efficient data retrieval. It is a one-way function, meaning that it is easy to compute the hash value from the input data, but it is practically impossible to reconstruct the original data from the hash value. The topics of interest include hashing, hash tables, collision detection, temporal complexity, and hashing applications.
Hashing is a process of converting input data of arbitrary size into a fixed-size output, typically a sequence of characters or digits that represents the original data. The output, known as a hash value or message digest, is generated using a mathematical function called a hash function. Hashing is commonly used in computer science and cryptography to ensure data integrity, security, and efficient data retrieval. It is a one-way function, meaning that it is easy to compute the hash value from the input data, but it is practically impossible to reconstruct the original data from the hash value. The topics of interest include hashing, hash tables, collision detection, temporal complexity, and hashing applications.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Hashing is a process of converting input data of arbitrary size into a fixed-size output, typically a sequence of characters or digits that represents the original data. The output, known as a hash value or message digest, is generated using a mathematical function called a hash function. Hashing is commonly used in computer science and cryptography to ensure data integrity, security, and efficient data retrieval. It is a one-way function, meaning that it is easy to compute the hash value from the input data, but it is practically impossible to reconstruct the original data from the hash value. The topics of interest include hashing, hash tables, collision detection, temporal complexity, and hashing applications.
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