
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
A well designed hash function normally has multiple properties, including collision resistance, which means it is very hard for one to find a pair of inputs x≠y, such that h(x) = h(y). Could we just use a collision resistant function to do encryption? i.e., Enc(k,m)=f(k,m), where f is a collision resistant function.
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution
Trending nowThis is a popular solution!
Step by stepSolved in 2 steps

Knowledge Booster
Similar questions
- Consider a open bucket hash table and closed bucket hash table in which the keys are student identifiers (strings of 6 digits). Assume the following number of buckets and hash function: m = 100; hash(id) = first two digits of id #. Starting with an empty hash table, show the effect of successively adding the following student identifiers: 000014, 990021, 990019, 970036, 000015, 970012, 970023. Use following function as second hash function hash(id) = last digit of id # Show the effect of deleting 000014 from the hash table. (Java Programming DSA)arrow_forwardDoes a hash table of size m always have the same number of linked lists? No matter how long I try, I just can't put my finger on the function of a hash function. Give a case study to demonstrate your point.arrow_forwardAll the values were thrown into the same hash bucket, therefore the hash map isn't particularly good (that is, they are all in the same LinkedList). If this is the case, please elaborate on how using a hash map in the first place will be rendered ineffective.arrow_forward
- Suppose the length of a hash table is 14, and the hash function is h(key)=key%11. There are only four nodes in the table: H(15)=4, H(38)=5, H(61)=6, H(84)=7, and the remaining positions are empty. If the conflict is handled by the linear detection method, what is the node address of 49? 8. 3 9. None of the abovearrow_forwardWe have a poorly designed hash map in which all values have been placed in the same bucket (that is, they are all in the same LinkedList). Explain how this goes against the purpose of utilizing a hash map in the first place.arrow_forwardThe Java hash function for Strings computes a hash code based on a fixed maximum number of characters of the string. Given that Strings have no meaningful upper bound in length, describe how an effective, constant-time hashing algorithm can be constructed. (Hint: If you were to pick, say, eight characters to represent a string of length l, which would you choose?)arrow_forward
- Suppose we were supplied a hash function h(k) = k mod 10. Let our hash table T consist of a modest 10 slots, addressed by index values 0 through 9: and the remaining part is continued in the imagearrow_forwardRehash the hash table below (separate chaining, length 5) to a new length of 10. Draw the new hash table after rehashing, Assume that hashCode (x) = x for this question. Assume that we always traverse a chain from head to tail and always insert at the head of the chain example 0:15->30 1:6->21->11 2: 3: A 4:-14arrow_forwardSuppose you have a hash table of size N = 64, and you are using pseudo-random probing. The keys in your hash are 4-digit integers (0000 through 9999) and your hash function is h(k) = (the sum of the digits in k). Assume that the first 4 slots of your pseudo-random probing array contain: 5, 10, 60, 30 What are the first 4 values in the probe sequence (starting with the home position) for a record with key k=1948?arrow_forward
- how would the hash table look like ? linear probing and quadratic probing ?arrow_forwardWhat is the worst-case performance of a lookup operation in a hashmap and why? Group of answer choices A- O(1), hashmap always has a constant time lookup, and that is why we like using this associative data structure. B- O(lg(n)) hashmap has a log(n) lookup because we are able to perform a binary search on the keys because our hashmap always maintains a sorted order of entries added. C- O(n) because we can have a bad hash function that puts all of our items in the same bucket, thus we would have to iterate through all n items.arrow_forwardGiven the input set A = {1, 2, 3, 4, 5} and output set B = {1, 2, 3, 4}, is it possible to find a hash function H from A to B that has no hash collision, i.e., LaTeX: \forall ∀ a1, a2 LaTeX: \in ∈A, H(a1) LaTeX: \ne ≠H(a2) If yes, please give the function. Otherwise, please explain. (Hint: pigeonhole principle)arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Computer Networking: A Top-Down Approach (7th Edi...Computer EngineeringISBN:9780133594140Author:James Kurose, Keith RossPublisher:PEARSONComputer Organization and Design MIPS Edition, Fi...Computer EngineeringISBN:9780124077263Author:David A. Patterson, John L. HennessyPublisher:Elsevier ScienceNetwork+ Guide to Networks (MindTap Course List)Computer EngineeringISBN:9781337569330Author:Jill West, Tamara Dean, Jean AndrewsPublisher:Cengage Learning
- Concepts of Database ManagementComputer EngineeringISBN:9781337093422Author:Joy L. Starks, Philip J. Pratt, Mary Z. LastPublisher:Cengage LearningPrelude to ProgrammingComputer EngineeringISBN:9780133750423Author:VENIT, StewartPublisher:Pearson EducationSc Business Data Communications and Networking, T...Computer EngineeringISBN:9781119368830Author:FITZGERALDPublisher:WILEY

Computer Networking: A Top-Down Approach (7th Edi...
Computer Engineering
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:PEARSON

Computer Organization and Design MIPS Edition, Fi...
Computer Engineering
ISBN:9780124077263
Author:David A. Patterson, John L. Hennessy
Publisher:Elsevier Science

Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:9781337569330
Author:Jill West, Tamara Dean, Jean Andrews
Publisher:Cengage Learning

Concepts of Database Management
Computer Engineering
ISBN:9781337093422
Author:Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:Cengage Learning

Prelude to Programming
Computer Engineering
ISBN:9780133750423
Author:VENIT, Stewart
Publisher:Pearson Education

Sc Business Data Communications and Networking, T...
Computer Engineering
ISBN:9781119368830
Author:FITZGERALD
Publisher:WILEY