The present invention discloses a remote attestation method for a trusted
data space, which relates to the field of computer and
data security technology. First, a trusted environment is initialized for heterogeneous terminals containing CPUs, GPUs, and FPGAs based on hardware security modules and physically unclonable functions to generate dynamic identity keys. The verifier generates a challenge value using
quantum random numbers, which is transmitted to the prover via
quantum encryption and neuromorphic photonic networks. The prover constructs a proof using a
tensor decomposition zero-knowledge proof protocol, combines a spatiotemporal causal graph with
quantum signature aggregation to complete multi-level
verification on the verifier, and finally implements dynamic trust evaluation and adaptive strategy adjustment through quantum Bayesian networks,
reinforcement learning, and
biofeedback. The present invention improves the remote attestation performance of trusted data spaces, implements dynamic trust evaluation with the help of quantum Bayesian networks and
biofeedback, effectively resists attacks, meets real-time needs, accurately evaluates trust, and promotes the development of trusted data spaces.