Proponent/Claimant

Deborah G. Brosas, Ariel M. Sison, Ruji P. Medina

Abstract

In the cryptographic field, it is a cryptosystem practice to use a secret key together with a cryptographic algorithm parameter. These cryptographic algorithms should produce pseudorandom data to understand better the cryptographic performance of such ciphers. To understand the performance of a cryptographic algorithm a statistical analysis should be performed. In this paper, a randomness analysis of the proposed cryptographic algorithm using combined multilevel substitution and encryption techniques were executed. Statistical test results were presented using NIST STS to measure the randomness behavior of the keystream output. The statistical analysis utilized the non-parameterized test selection, such as cumulative sums, runs test, longest runs of ones, and frequency. The performed experiment used 100 samples with 100 bits in length. The algorithm achieved an average success rate of 99.50% in four statistical tests used. Therefore, it is assumed that the proposed cryptographic algorithm is effective in producing a random ciphertext sequence. For future works, it is then suggested to implement it in software application to boost electronic medical records protection.

Name of Research Journal

IEEE Xplore

Volume and Issue No.

ISBN:978-1-7281-5313-1

Date/Year of Publication

August 2020

Citation

Brosas, D. G., Sison, A. M., Hernandez, A. A., & Medina, R. P. (2020, August). Analysis of the Randomness Performance of the Proposed Stream Cipher Based Cryptographic Algorithm. In 2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC) (pp. 76-81). IEEE.