International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,October 2017,

Topic : Enhancement of Security in Cryptographic Systems by Improving Randomness

Authors:Antu Annam Thomas || Varghese Paul

Abstract:Randomness plays an important role in many of the applications where natural selection process needs to be simulated. The term randomness also finds an important and irreplaceable role in the area of data security and cryptography. There are various traditional random number generators. Multiplicative Congruential Generator (MCG) is one among them. The randomness of the generated sequence is enhanced by the concept of nesting introduced into the algorithm. In this work the traditional MCG is compared with Nested Multiplicative Congruential Generator(NMCG) using statistical and graphical analysis techniques. The most important advantage of NMCG is that the period of the generated sequence is infinity. In the case of MCG the period depends upon the value of multiplicand. The analysis performed also concludes that NMCG is a better random number generator when compared to MC..

Keywords: Cryptography; Data Security; True Random Number Generator; Pseudo random number generator; Multiplicative Congruential Generator; Prime number; Kolmogorov Smirnov Test; Runs Test

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DOI: 01.1617/vol4/iss10/pid85491


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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