The application relates to the technical field of
data security control, and particularly discloses a
control system for data sensitivity levels based on dynamic optimization, which comprises an
original data stream acquisition module, a sensitive scoring and semantic understanding module, a semantic drift quantitative evaluation module, a scoring enhancement and mapping module and a permission matching module. The
original data stream acquisition module is used for acquiring
original data request packets, static rule dictionaries and external event streams. The sensitive scoring and semantic understanding module is used for matching and scoring to obtain a basic sensitivity
score, and performing
feature extraction and vectorization conversion to obtain a
data content vector and a global event
context vector. The semantic drift quantitative evaluation module is used for performing semantic drift quantitative evaluation to obtain a semantic
drift coefficient. The scoring enhancement and mapping module is used for performing dynamic enhancement calculation to obtain an
enhanced sensitivity score, and performing boundary truncation and
discretization mapping to obtain a dynamic sensitivity level. The permission matching module is used for performing permission matching between the dynamic sensitivity level and a user attribute archive to obtain an
access control decision result. The application realizes
millisecond-level adaptive reconstruction and accurate permission ruling of the sensitivity level.