InterConFuzz: A Fuzzing-based Comprehensive NoC Verification Framework
Security verification of Network-on-Chip (NoC) systems is essential due to their intricate and high-concurrency structures. Traditional methods often fail to cover all scenarios or scale effectively, leading to prolonged verification and overlooked vulnerabilities. Our proposed solution, InterConFuzz, a hybrid hardware fuzzing technique, uses symbolic execution for extensive coverage. Developed on Universal Verification Methodology (UVM), InterConFuzz discovered five security flaws in the NoC architecture of the OpenTitan SoC-surpassing existing techniques by three-while reducing memory and computational needs by 24.4% and 29.5%, respectively. Furthermore, InterConFuzz furnished comparable functional coverage compared to existing NoC fuzzing approaches, proving its efficiency and robustness.
Authors
- Hyunmin Kim (ORCID: https://orcid.org/0009-0008-1549-9277)
- Kanad Basu (ORCID: https://orcid.org/0000-0002-6431-7512)
- Samit Shahnawaz Miftah (ORCID: https://orcid.org/0009-0009-7533-376X)
Institutions
- The University of Texas at Dallas (US)
- Technology Innovation Institute (AE)
- University of North Texas at Dallas (US)
Publication Details
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1109/dac63849.2025.11133216
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00