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ew 18(18): e3

Research Article

Non-Recurring Improved Random Number Generator- a new step to improve cryptographic algorithms

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  • @ARTICLE{10.4108/eai.12-6-2018.154813,
        author={Thomas Antu Annam and Paul Varghese},
        title={Non-Recurring Improved Random Number Generator- a new step to improve cryptographic algorithms},
        journal={EAI Endorsed Transactions on Energy Web and Information Technologies},
        volume={5},
        number={18},
        publisher={EAI},
        journal_a={EW},
        year={2018},
        month={6},
        keywords={Data security, cryptography, True Random Number Generator, Pseudo Random Number},
        doi={10.4108/eai.12-6-2018.154813}
    }
    
  • Thomas Antu Annam
    Paul Varghese
    Year: 2018
    Non-Recurring Improved Random Number Generator- a new step to improve cryptographic algorithms
    EW
    EAI
    DOI: 10.4108/eai.12-6-2018.154813
Thomas Antu Annam1,*, Paul Varghese2
  • 1: Assistant Professor, Dept. of Computer Application, Mar Thoma College, Thiruvalla
  • 2: Professor and Head, Dept. of Information Technology, CUSAT University
*Contact email: antu@marthomacollege.org

Abstract

The world is now behind technology transforming every terminology in daily life, like banking, cash, paper, shopping, communication and so on into, e-world terminologies. In this fast growing e-world efficiency of cryptographic algorithms that ensure security of data is of primary concern. Randomness plays an important role in improving the efficiency of cryptographic algorithms. Compared to pseudo Random number generators true random number generators produce random series that exhibit randomness more. But it is better to combine the advantages of both true random number generators and pseudo random number generators. In this work a non-recurring random number generator is being experimented and proved to better generator when compared to the existing systems. In this system it is ensured that a sequence of numbers never repeats within the generated series and also every number occurs with same frequency. Both these qualities of the generated series prove itself to be better than the existing systems.

Keywords
Data security, cryptography, True Random Number Generator, Pseudo Random Number
Received
2018-05-12
Accepted
2018-06-01
Published
2018-06-12
Publisher
EAI
http://dx.doi.org/10.4108/eai.12-6-2018.154813

Copyright © 2018 Antu Annam Thomas and Varghese Paul, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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