Principle of Pseudorandom Number Generator MCQs

Principle of Pseudorandom Number Generator MCQs

1. PRNG stands for. 

A. Personal Random Number Generation. 

B. Pseudo Random Number Generation. 

C. Primitive Number Generators. 

D. Private Number Generators. 

Answer= Pseudo Random Number Generation


2. TRNG stands for. 

A. True Random Number Generation. 

B. Trust Random Number Generation. 

C. Text Ring Number Generators. 

D. None of the mentioned. 

Answer= True Random Number Generation


3. A rule to check for a large number N being a prime number. 

A. by dividing N by every even interger less than N/2. 

B. by dividing N by every odd interger less than root(N). 

C. by dividing N by every even interger less than root(N). 

D. by dividing N by every interger less than N/2. 

Answer= by dividing N by every odd interger less than root(N)


4. PRNGs are derived through algorithms.. 

A. TRUE. 

B. FALSE. 

C. Nothing can be said. 

D. None of the mentioned. 

Answer= TRUE


5. TRNGs take in an input which is referred to as. 

A. random variable. 

B. external variable. 

C. entropy source. 

D. bit stream. 

Answer= entropy source


6. PRNGs take in an input which is referred to as. 

A. bit stream. 

B. seed. 

C. entropy source. 

D. external variable. 

Answer= seed


7. Which of the following produces an output of fixed length?. 

A. PRNG. 

B. TRNG. 

C. PRF. 

D. All of the mentioned. 

Answer= PRF


8. Which of the following a is NOT a check for randomness?. 

A. Uniformity. 

B. Scalability. 

C. Consistency. 

D. All of the mentioned. 

Answer= All of the mentioned


9. The property that there should be equally likely number of 1s and 0s in a Pseudo Random Number sence is. 

A. Scalability. 

B. Uniformity. 

C. Stability. 

D. Consistency. 

Answer= Uniformity


10. The property that any extracted subsence should pass the test for randomness is. 

A. Scalability. 

B. Uniformity. 

C. Stability. 

D. Consistency. 

Answer= Scalability


11. Which among the following cannot be used in the case of stream ciphers?. 

A. TRNGs. 

B. PRNGs. 

C. PRFs. 

D. All of the mentioned. 

Answer= TRNGs


12. A stream cipher key is usually of size ___ or 128 bits.. 

A. 56. 

B. 64. 

C. 54. 

D. 48. 

Answer= 54


13. Which among the following has the lowest bitrate ?. 

A. PRF. 

B. TRNG. 

C. PRNG. 

D. All have the same bitrate. 

Answer= TRNG


14. RC4 was built on the sole purpose of generating random bits i.e. to act as a PRNG.. 

A. TRUE. 

B. FALSE. 

C. Nothing can be said. 

D. None of the mentioned. 

Answer= TRUE


15. Maurer's Universal Statistical Test is  

A. a test to determine whether the number of runs of ones and zeros of various lengths is as expected. 

B. a test to detect if a sence can be significantly compressed without loss of information. 

C. a test to determine whether the number of ones and zeros in a sence is approx the same as in a truely random o/p. 

D. a test for the check of evenness in the 1s and 0s. 

Answer= a test to detect if a sence can be significantly compressed without loss of information


16. Runs Test is. 

A. a test to determine whether the number of runs of ones and zeros of various lengths is as expected. 

B. a test to detect if a sence can be significantly compressed without loss of information. 

C. a test to determine whether the number of ones and zeros in a sence is approx the same as in a truely random o/p. 

D. a test for the check of evenness in the 1s and 0s. 

Answer= a test to determine whether the number of runs of ones and zeros of various lengths is as expected


17. Frency Test is. 

A. a test to determine whether the number of runs of ones and zeros of various lengths is as expected. 

B. a test to detect if a sence can be significantly compressed without loss of information. 

C. a test for the check of evenness in the 1s and 0s. 

D. a test to determine whether the number of ones and zeros in a sence is approx the same as in a truely random o/p. 

Answer= a test to determine whether the number of ones and zeros in a sence is approx the same as in a truely random o/p


18. We should not be able to determine the seed from any previous knowledge of the bits sence. This is the property of backward unpredictability.. 

A. TRUE. 

B. FALSE. 

C. Nothing can be said. 

D. None of the mentioned. 

Answer= TRUE


19. Forward Unpredictability is a property when the seed is unknown, and the next output bit is the sence should be unpredictable.. 

A. TRUE. 

B. FALSE. 

C. Nothing can be said. 

D. None of the mentioned. 

Answer= TRUE

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