Randomness Testing on Strict Key Avalanche Data Category on Confusion Properties of 3D-AES Block Cipher Cryptography Algorithm

Abstract

AbstractIn data encryption of block cipher cryptographic algorithm, the security of the algorithm is measured based on Shannon’s confusion and diffusion properties from randomness tests. The 3D-AES block cipher was developed from selected and inspired by antigen-antibody interaction, somatic hyper mutation and protein structural features in immune systems. However, these computation elements from immune systems have not proved yet whether it can be successfully applied and satisfies with Shannon’s diffusion property in designing a new block cipher algorithm. Based on the results obtained from the analysis done in previous research, from seven categories except Strict Key Avalanche (SKA), the results on randomness test is passed. Even though the 3D-AES block cipher algorithm is random, based on 0.1% significance level and for 1,000 key stream generated. Hence, in this research paper, we present and compare the statistical analysis conducted towards 3D-AES and its enhanced version namely Enhanced 3D-AES block cipher. To ensure adequate high security of the systems in the world of information technology, the laboratory experiment results are presented and analyzed. They show that the randomness and non-linearity on SKA of the output in the enhanced 3D-AES symmetric encryption block cipher are comparable to the 3D-AES symmetric encryption block cipher.Keywords3D-AES block cipherCryptographic algorithmEncryptionConfusionRandomness test