ACE-GF: A Generative Framework for Atomic Cryptographic Entities
Jian Sheng Wang

TL;DR
ACE-GF introduces a seed-storage-free, deterministic identity framework that reconstructs cryptographic keys on-demand, enhancing security, agility, and resource efficiency across diverse digital systems without relying on persistent master secrets.
Contribution
It provides the first concrete construction of a seed-storage-free, context-isolated identity framework supporting cryptographic agility and post-quantum readiness, building on prior conceptual work.
Findings
Supports stateless credential rotation and revocation
Enables cryptographic agility across multiple curves and domains
Optimized for resource-constrained environments
Abstract
Autonomous digital entities require deterministic identity mechanisms that avoid persistent storage of high-value master secrets, while supporting credential rotation and cryptographic agility across heterogeneous systems. Existing deterministic key hierarchies and centralized key management systems typically rely on long-lived root secrets, introducing structural single points of failure and complicating lifecycle management. We present ACE-GF (Atomic Cryptographic Entity Generative Framework), a seed-storage-free identity construction that enables deterministic and context-isolated key derivation without storing any master secret at rest. The construction reconstructs an identity root ephemerally in memory from a sealed artifact and authorization credentials, using misuse-resistant authenticated encryption together with standard key derivation primitives. Derived keys are generated…
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Taxonomy
TopicsCryptography and Data Security · Blockchain Technology Applications and Security · Cryptography and Residue Arithmetic
