A Comparison of the Randomness Analysis of the Modified Rectangle Block Cipher and Original algorithm
DOI:
https://doi.org/10.56286/ntujps.v1i2.185Keywords:
Security, RECTANGLE algorithm, Randomness Analysis, Data Categories, NISTAbstract
In recent years, different encryption lightweight algorithms have been suggested to protect the security of data transferred across the IoT network. The symmetric key ciphers play a significant role in the security of devices, in particular block ciphers. the RECTANGLE algorithm amongst the current lightweight algorithms. Rectangle algorithm does have good encryption efficacy but the characteristics of confusion and diffusion that a cipher needed are lacking from this algorithm. Therefore, by improving the algorithm confusion and diffusion properties, we expanded Rectangle utilizing a 3D cipher and modified the key scheduling algorithm. To assess if these two algorithms are random or not, randomness analysis was done by using the NIST Statistical Test Suite. To create 100 samples for each algorithm, nine distinct data categories were used. These algorithms created ciphertext blocks, which were then concatenated to form a binary sequence. NIST tests carried out under 1% significance level. According to the results of the comparison study, the proposed algorithm's randomness analysis results are gave 27.48% better results than the original algorithm.
Downloads
Downloads
Published
Issue
Section
License
The journal applies the license of CC BY (a Creative Commons Attribution 4.0 International license). This license allows authors to keep ownership of the copyright of their papers. But this license permits any user to download, print out, extract, reuse, archive, and distribute the article, so long as appropriate credit is given to the authors and the source of the work. The license ensures that the article will be available as widely as possible and that the article can be included in any scientific archive. Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.


