Vol.5, No.1, February 2016.                                                                                                               ISSN: 2217-8309

                                                                                                                                                          eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Evaluation of Key Dependent S-Box Based Data Security Algorithm using Hamming Distance and Balanced Output


Balajee Maram K, J M Gnanasekar


2016 Balajee Maram K and J M Gnanasekar: published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 5, Issue 1, Pages 6775, ISSN 2217-8309, DOI: 10.18421/TEM51-11, February 2016




Data security is a major issue because of rapid evolution of data communication over unsecured internetwork. Here the proposed system is concerned with the problem of randomly generated S-box. The generation of S-box depends on Pseudo-Random-Number-Generators and shared-secret-key. The process of Pseudo-Random-Number-Generator depends on large prime numbers. All Pseudo-Random-Numbers are scrambled according to shared-secret-key. After scrambling, the S-box is generated. In this research, large prime numbers are the inputs to the Pseudo-Random-Number-Generator. The proposed S-box will reduce the complexity of S-box generation. Based on S-box parameters, it experimentally investigates the quality and robustness of the proposed algorithm which was tested. It yields better results with the S-box parameters like Hamming Distance, Balanced Output and Avalanche Effect and can be embedded to popular cryptography algorithms


Keywords – S-BOX, Data Security, Large Prime Number, Random Number, Cryptography



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