CSPM Week11 P11

4/8/2020 Originality Report

https://blackboard.nec.edu/webapps/mdb-sa-BB5b75a0e7334a9/originalityReport/ultra?attemptId=7aad309d-7ef5-47ed-9859-faa9e61cc1f6&course_id=_45732… 1/3

%53

%8

SafeAssign Originality Report Cybersecurity Planning & Mgmt - 202030 - CRN151 … • Internet Research - Wk 11

%61Total Score: High risk Deepika Kashni

Submission UUID: 76b25403-dc86-26c2-55ce-af217cb1918c

Total Number of Reports

1 Highest Match

61 % CSPM week11 p11 Rando…

Average Match

61 % Submitted on

04/08/20 11:54 AM EDT

Average Word Count

379 Highest: CSPM week11 p1…

%61Attachment 1

Institutional database (5)

Student paper Student paper Student paper

Student paper Student paper

Internet (2)

betfaircasino uni-muenster

Top sources (3)

Excluded sources (0)

View Originality Report - Old Design

Word Count: 379 CSPM week11 p11 RandomNumberGenerationinCryptography.docx

5 4 1

2 3

6 7

5 Student paper 4 Student paper 1 Student paper

4/8/2020 Originality Report

https://blackboard.nec.edu/webapps/mdb-sa-BB5b75a0e7334a9/originalityReport/ultra?attemptId=7aad309d-7ef5-47ed-9859-faa9e61cc1f6&course_id=_45732… 2/3

Source Matches (13)

Student paper 78%

Student paper 82%

Student paper 64%

Student paper 68%

Student paper 83%

Student paper 100%

Student paper 69%

Student paper 67%

Running head: CRYPTOGRAPHY 1

CRYPTOGRAPHY 2

Random Number Generation in Cryptography

Deepika

04/08/2020

What are random number generators? Random number generators are very essential in cryptography. They are used to generate numbers in sequence or symbols that do not follow are a certain sequence and therefore it is hard to predict the next number in the sequence hence the name random. This is the main aim of cryptography. These random numbers generated can be from hardware random num- ber generator or pseudo-random number generator (Hoffman, 2019). The hardware generators generate genuine true numbers while those of pseudo release numbers, which resemble random numbers. What are the different uses of these tools beside cryptography? Random numbers were used in the past for various uses such as gaming. In the recent times, electronic gaming also uses random number generators in the casinos because random numbers are displayed to help in determination of the winner. Random number generators are also used in science to help scientists come up with test hypothesis for their research and also they are used in statistical sampling in order to generate different unpredictable number (Haahr, 2020). How do they work? Hardware generators are usually preferred over pseudo generators.

Software random number generators work based on mathematical algorithms to generate the numbers. A seed value is derived from operations, which are repetitive in the computer such as mouse movements and keystrokes. The seed value is then used to initialize an algo- rithm, which goes on to produce random numbers. In this method, it is very difficult to generate completely random values because the seed number provided offers a small range of values. Hardware generators on the other hand do not require a seed value because the random numbers are obtained from digitized snapshots and therefore it produces unpredictable random numbers (Betfair, 2020).

References Betfair (2020). What are Random Number Generators, and how do they work? Retrieved from https://en-betfair.custhelp.- com/app/answers/detail/a_id/158/~/what-are-random- number-generators%2C-and-how-do-they-work%3F Haahr M. (2020). Introduction to Randomness and Random Numbers. Retrieved fromhttps://www.random.org/randomness/ Hoffman C. (2019).How Computers Generate Random Numbers. Retrieved from https://www.howtogeek.com/183051/htg-explains-how-computers-generate-random- numbers/

1

2 1

3

1

1 4 5

6 5 7

2 4

1

Student paper

Random Number Generation in Cryptography

Original source

For cryptography the random num- ber generation is essential

2

Student paper

What are random number generators?

Original source

RANDOM NUMBER GENERATORS

1

Student paper

Random number generators are very essential in cryptography.

Original source

For cryptography the random num- ber generation is essential

3

Student paper

These random numbers generated can be from hardware random number generator or pseudo-ran- dom number generator (Hoffman, 2019).

Original source

pseudo-random number generator and hardware-random number generator

1

Student paper

What are the different uses of these tools beside cryptography?

Original source

What are the different uses of these tools besides cryptography

1

Student paper

How do they work?

Original source

How do they work

4

Student paper

Software random number genera- tors work based on mathematical algorithms to generate the numbers.

Original source

Software RNGs rely on mathemati- cal algorithms to generate these random numbers

5

Student paper

A seed value is derived from opera- tions, which are repetitive in the computer such as mouse move- ments and keystrokes.

Original source

value derived from some repetitive operation in the computer, such as running process, keystrokes, mouse movements or computer’s clock

4/8/2020 Originality Report

https://blackboard.nec.edu/webapps/mdb-sa-BB5b75a0e7334a9/originalityReport/ultra?attemptId=7aad309d-7ef5-47ed-9859-faa9e61cc1f6&course_id=_45732… 3/3

betfaircasino 100%

Student paper 96%

uni-muenster 100%

Student paper 83%

Student paper 94%

6

Student paper

What are Random Number Genera- tors, and how do they work?

Original source

What are Random Number Genera- tors, and how do they work

5

Student paper

Retrieved from https://en-betfair.- custhelp.com/app/answers/detail/a _id/158/~/what-are-random- num- ber-generators%2C-and-how-do- they-work%3F Haahr M.

Original source

Retrieved from https://en-betfair.- custhelp.com/app/answers/detail/a _id/158/~/what-are-random-num- ber-generators%2C-and-how-do- they-work%3F

7

Student paper

Introduction to Randomness and Random Numbers.

Original source

Introduction to Randomness and Random Numbers

2

Student paper

Retrieved fromhttps://www.ran- dom.org/randomness/ Hoffman C.

Original source

Retrieved from https://www.ran- dom.org/randomness/ Hoffman, C

4

Student paper

(2019).How Computers Generate Random Numbers. Retrieved from https://www.howtogeek.com/1830 51/htg-explains-how-computers- generate-random- numbers/

Original source

How Computers Generate Random Numbers Retrieved from https://www.howtogeek.com/1830 51/htg-explains-how-computers- generate-random-numbers/