Paper 2023/1561
LLM for SoC Security: A Paradigm Shift
Abstract
As the ubiquity and complexity of system-on-chip (SoC) designs increase across electronic devices, the task of incorporating security into an SoC design flow poses significant challenges. Existing security solutions are inadequate to provide effective verification of modern SoC designs due to their limitations in scalability, comprehensiveness, and adaptability. On the other hand, Large Language Models (LLMs) are celebrated for their remarkable success in natural language understanding, advanced reasoning, and program synthesis tasks. Recognizing an opportunity, our research delves into leveraging the emergent capabilities of Generative Pre-trained Transformers (GPTs) to address the existing gaps in SoC security, aiming for a more efficient, scalable, and adaptable methodology. By integrating LLMs into the SoC security verification paradigm, we open a new frontier of possibilities and challenges to ensure the security of increasingly complex SoCs. This paper offers an in-depth analysis of existing works, showcases practical case studies, demonstrates comprehensive experiments, and provides useful promoting guidelines. We also present the achievements, prospects, and challenges of employing LLM in different SoC security verification tasks.
Note: It is a preprint version.
Metadata
- Available format(s)
- Category
- Applications
- Publication info
- Preprint.
- Keywords
- Large Language ModelChatGPTGPT-4Hardware SecuritySoC Security VerificationRTL
- Contact author(s)
-
dsaha @ ufl edu
shams tarek @ ufl edu
ka yahyaei @ ufl edu
sujansaha @ ufl edu
jingbozhou @ ufl edu
tehranipoor @ ece ufl edu
farimah @ ece ufl edu - History
- 2023-10-13: approved
- 2023-10-10: received
- See all versions
- Short URL
- https://ia.cr/2023/1561
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2023/1561, author = {Dipayan Saha and Shams Tarek and Katayoon Yahyaei and Sujan Kumar Saha and Jingbo Zhou and Mark Tehranipoor and Farimah Farahmandi}, title = {{LLM} for {SoC} Security: A Paradigm Shift}, howpublished = {Cryptology {ePrint} Archive, Paper 2023/1561}, year = {2023}, url = {https://eprint.iacr.org/2023/1561} }