The invention discloses a cross-industry
data security sharing method and
system based on data desensitization and a medium, and relates to the related field of privacy computing, and the method comprises the following steps: carrying out dynamic desensitization
processing on
original data, generating a shared
data set for real-time recording, constructing an access behavior characteristic spectrum to configure a dynamic access strategy, and establishing a third-party security
data sharing platform, storing the shared
data set in a trusted execution environment in a fragmented manner, obtaining fragmented encrypted data, executing a dynamic access strategy, performing
conjoint analysis on the fragmented encrypted data through a security multi-party computing protocol, and generating a
data security sharing suggestion. The technical problems that in cross-industry
data sharing, the privacy leakage risk is high, the static desensitization rule is rigid, and the multi-party calculation efficiency is low are solved, and the technical effects of breaking data islands and constructing safe and mutual-trust data circulation
ecology through fusion of dynamic hierarchical desensitization and a trusted execution environment are achieved.