The invention belongs to the technical field of
data processing, and particularly discloses a
memory chip ECC module adaptive
verification method and device, and the method comprises the steps: perceiving the multi-source information of
physics, environment and the like in real time through a multi-mode
sensor array, generating a dynamic parameter fusion matrix, and analyzing the matrix data through a
hybrid intelligent prediction model, prospectively predicting an error trend and generating a pre-selected error correction strategy; according to the prediction result and the environmental parameters, the storage array topology reconstruction is triggered to avoid the risk, and in combination with a digital twin model and a historical error pattern
library, graded early warning is generated, the
system risk is evaluated, and a differential
response strategy is executed, so that the
system can utilize
system resources to the maximum extent while ensuring the security of core services; by using the block chain evidence storage and incremental
federated learning technology, the
verification system is endowed with reliable self-evolution ability, so that the whole
verification system can adapt to a new
threat mode and a continuously evolved application environment.