What makes a Key Derivation Function special when compared to other families of secure hash functions (like the SHA family of algorithms)? Including as much detail as possible increases the likelihood that your message will be understood.

What makes a Key Derivation Function special when compared to other families of secure hash functions (like the SHA family of algorithms)? Including as much detail as possible increases the likelihood that your message will be understood.

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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For a n-bit hash function and m-bit messages, there are 2m-n (I,e; Two to the power m-n) messages per hash value. For example, m=1024 and n=128 there are 2 896 (two to the power 896) messages per hash value. Still. Why is it difficult to find hash collision?
Does a hash table of size m always have the same number of linked lists? I've been trying to understand the function of a hash function, but I just can't seem to get it. Give a case study to demonstrate your point.
How secure is the OLP approach developed by Lamport, taking into account the qualities that are important to the hash function?
a. What characteristics are needed in a secure hash function? b. What is the role of a compression function in a hash function? c. Suppose H(m) is a collision-resistant hash function that maps a message of arbitrary bit length into an n-bit hash value. Is it true that, for all messages x, x’ with x ≠ x’, we have H(x) ≠ H(x’)? Explain your answer.
How secure is the OLP approach developed by Lamport, taking into account the qualities that are important to the hash function?
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Given the importance of the hash function's characteristics, how safe is Lamport's OLP algorithm?
Take into account Lamport's OLP algorithm and its level of protection in light of the significance of the hash function's properties.
A good cryptographic hashing algorithm should produce random outputs; that is, the probability of any given hash value should be approximately the same as any other for randomly chosen input data. What would be the consequence of using a hash algorithm whose outputs were not random? Consider, for example, the case where some hash values are twice as likely to occur as others.
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What makes a Key Derivation Function different from other families of secure hash functions (like the SHA family of algorithms) that have been investigated before? Including as much information as possible will increase the likelihood that your message will be comprehended.