Structural Dependency Analysis for Masked NTT Hardware: Scalable Pre-Silicon Verification of Post-Quantum Cryptographic Accelerators
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866913047057006592 |
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| author | Iskander, Ray Kirah, Khaled |
| author_facet | Iskander, Ray Kirah, Khaled |
| contents | Post-quantum cryptographic (PQC) accelerators implementing ML-KEM (FIPS 203) and ML-DSA (FIPS 204) require side-channel resistance evidence for FIPS 140-3 certification. However, exact masking-verification tools scale only to gadgets of a few thousand cells. We present a four-stage verification hierarchy, D0/D1 structural dependency analysis, fresh-mask refinement, Boolean Single-Authentication Distance Checking (SADC), and arithmetic SADC, that extends sound first-order masking verification to production arithmetic modules. Applied to the 1.17-million-cell Adams Bridge ML-DSA/ML-KEM accelerator, structural analysis completes in seconds across all 30 masked submodules. A multi-cycle extension (MC-D1) reclassifies 12 modules from structurally clean to structurally flagged. On the 5,543-cell ML-KEM Barrett reduction module, the pipeline machine-verifies 198 of 363 structurally flagged wires (54.5%) as first-order secure, reports 165 as candidate insecure for designer triage (a sound upper bound), and leaves 0 indeterminate. Every verdict is cross validated by Z3 and CVC5 with 0 disagreements across 363 wires. The result narrows manual review from hundreds of structural flags to 165 actionable candidates with mathematical certificates, enabling pre-silicon side-channel evidence generation on production ML-KEM hardware. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_15249 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Structural Dependency Analysis for Masked NTT Hardware: Scalable Pre-Silicon Verification of Post-Quantum Cryptographic Accelerators Iskander, Ray Kirah, Khaled Cryptography and Security Post-quantum cryptographic (PQC) accelerators implementing ML-KEM (FIPS 203) and ML-DSA (FIPS 204) require side-channel resistance evidence for FIPS 140-3 certification. However, exact masking-verification tools scale only to gadgets of a few thousand cells. We present a four-stage verification hierarchy, D0/D1 structural dependency analysis, fresh-mask refinement, Boolean Single-Authentication Distance Checking (SADC), and arithmetic SADC, that extends sound first-order masking verification to production arithmetic modules. Applied to the 1.17-million-cell Adams Bridge ML-DSA/ML-KEM accelerator, structural analysis completes in seconds across all 30 masked submodules. A multi-cycle extension (MC-D1) reclassifies 12 modules from structurally clean to structurally flagged. On the 5,543-cell ML-KEM Barrett reduction module, the pipeline machine-verifies 198 of 363 structurally flagged wires (54.5%) as first-order secure, reports 165 as candidate insecure for designer triage (a sound upper bound), and leaves 0 indeterminate. Every verdict is cross validated by Z3 and CVC5 with 0 disagreements across 363 wires. The result narrows manual review from hundreds of structural flags to 165 actionable candidates with mathematical certificates, enabling pre-silicon side-channel evidence generation on production ML-KEM hardware. |
| title | Structural Dependency Analysis for Masked NTT Hardware: Scalable Pre-Silicon Verification of Post-Quantum Cryptographic Accelerators |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2604.15249 |