  This study, to the best of our knowledge, is the first to explore the
intersection between lightweight cryptography (LWC) and advanced artificial
intelligence (AI) language models. LWC, in particular the ASCON algorithm which
has been selected as the LWC standard by the National Institute of Standards
and Technology (NIST) in Feb. 2023, has become increasingly significant for
preserving data security given the quick expansion and resource limitations of
Internet of Things (IoT) devices. On the other hand, OpenAI's large language
model (LLM) ChatGPT has demonstrated significant potential in producing
complex, human-like text. This paper offers a novel method for implementing the
NIST LWC standard, ASCON, using the GPT-4 model. Moreover, this paper details
the design and functionality of ASCON, the procedures and actual Python
implementation of ASCON using ChatGPT, and a discussion of the outcomes. The
results contribute valuable insights into the efficient application of advanced
AI language models in cryptography, particularly in constrained environments.
Source code can be found at: https://github.com/DrCintas/ASCON-with-ChatGPT.
