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Techniques and implementations used to reduce the computational overhead of cryptographic operations.
Distinct from High-Performance Computing: Existing high-performance candidates refer to HPC clusters or web rendering, not specific cryptographic acceleration.
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hashsigs-py is a hash-based signature library for Python used to generate and verify one-time digital signatures. It employs hash chains and seed-based key derivation to authenticate data and ensure message integrity. The library includes a high-performance compiled cryptography backend to accelerate signature computation and processing. For compatibility, it maintains a pure Python fallback implementation to ensure functionality when the compiled backend is unavailable. The project provides tools for digital key pair management, allowing for the deterministic generation of public and privat
Uses a compiled cryptography backend to accelerate signature computation and processing.
This library provides a collection of low-level mathematical primitives for Curve25519 and Ristretto group operations. It serves as a foundation for building secure cryptographic protocols, offering tools for elliptic curve arithmetic, key exchange, and digital signature generation. The implementation prioritizes side-channel resistance by utilizing constant-time arithmetic logic across all operations, ensuring that secret-dependent timing variations are prevented. It leverages the Rust type system to enforce state validity, making illegal group elements unrepresentable at compile time. To ma
Optimizes complex mathematical calculations using hardware-specific SIMD instructions and constant-time logic.