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| author | J08nY | 2024-04-13 18:44:12 +0200 |
|---|---|---|
| committer | J08nY | 2024-04-13 18:44:12 +0200 |
| commit | acc0878d612bd1f159d6a2139c80dba6f70f530e (patch) | |
| tree | d5b5e3c27a005867b05614ceda987a49f3b5160e /README.md | |
| parent | 9ac9717905b188f159c4256e16b934bb8c5d5d5b (diff) | |
| download | pyecsca-acc0878d612bd1f159d6a2139c80dba6f70f530e.tar.gz pyecsca-acc0878d612bd1f159d6a2139c80dba6f70f530e.tar.zst pyecsca-acc0878d612bd1f159d6a2139c80dba6f70f530e.zip | |
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -14,7 +14,7 @@ about a black-box implementation of ECC through side-channels. The main goal of is to be able to reverse engineer the curve model, coordinate system, addition formulas, scalar multiplier and even finite-field implementation details. -It is currently in an alpha stage of development and thus only provides: +It currently provides: - Enumeration of millions of possible ECC implementation configurations (see [notebook/configuration_space](https://neuromancer.sk/pyecsca/notebook/configuration_space.html)) - Simulation and execution tracing of key generation, ECDH and ECDSA (see [notebook/simulation](https://neuromancer.sk/pyecsca/notebook/simulation.html)) - Synthesis of C implementations of ECC for embedded devices, given any implementation configuration (see [notebook/codegen](https://neuromancer.sk/pyecsca/notebook/codegen.html)), |