Random numbers generators are used in many applications e.g. statistical sampling, cryptography, computer
simulation. In this paper our focus will be on random number generators used in cryptography. This paper presents and
discusses the analysis methods applied in symmetric cryptography, especially on stream ciphers. In modern digital
cryptography Random numbers play a very crucial role. Due to unpredictable, unknown, un-guessable and irreproducible
properties of Random numbers, they play a significant role in cryptography in securing the secret information. Many
cryptographic systems are compromised due to the lack of thorough analysis of Random number generator and of the
quality of sequences produced.
Published In:IJCSN Journal Volume 7, Issue 2
Date of Publication : April 2018
Pages : 79-82
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Nusrat Mohi Ud Din : M.Tech IT, Central University Of Kashmir
Srinagar, India.
Although there are various stream ciphers used in
cryptography, because of their speed. But unlike block
ciphers there is no standard for stream ciphers. The
security of the cryptographic system depends on the
keystream generator. The flaws in keystream generator
can led to the compromise of the whole cryptographic
system. Cryptography requires the high quality and
high performance random number generator. Various
statistical are available that can be applied on the
pseudorandom number generators to increase the
confidence in the generator before being used for any
cryptographic application. In future Statistical Test
suites can be performed on NLFSR based stream
ciphers to ensure the security of these Stream Ciphers
and to measure the quality of random sequences
produced.
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