@article {10.3844/jcssp.2020.1639.1647,
article_type = {journal},
title = {Randomness Analysis on Lightweight Block Cipher, PRESENT},
author = {Mohammad Shah, Isma Norshahila Binti and Bin Ismail, Eddie Shahril},
volume = {16},
number = {11},
year = {2020},
month = {Nov},
pages = {1639-1647},
doi = {10.3844/jcssp.2020.1639.1647},
url = {https://thescipub.com/abstract/jcssp.2020.1639.1647},
abstract = {Lightweight cryptography is an area of current research conducted by academicians and cryptographic experts to ensure the security of data in limited-resource devices such as RFID tags, medical and health care devices and sensor networks. One of the lightweight algorithms built is the PRESENT algorithm. To this day, PRESENT has been a reference for lightweight block cipher algorithms and is incorporated into Lightweight Cryptography Standard ISO/IEC 29192-2. The capacity to act as a random number generator is one of the key requirements when designing an algorithm. Thus, this study aims to examine the capabilities of the PRESENT algorithm as a random number generator. By using the NIST Statistical Test Suite, a randomness analysis is performed on the PRESENT algorithm. A total of six data categories i.e., Strict Key Avalanche, Strict Plaintext Avalanche, High-Density Key, Low- Density Key, Low-Density Plaintext and High-Density Plaintext were applied to generate 100 input sequences for each algorithm. From the analysis, the outputs generated from the PRESENT algorithm are essentially non-random based on the 1% significance level.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}