The application discloses an industry chain
collaboration-oriented B-end transaction platform multi-subject permission
intelligent management method, and relates to the technical field of
data processing and
access control. The subject cooperation strength and trust degree are embedded through a graph
attention network, and a transient role and a minimum necessary permission boundary are dynamically generated in combination with context attributes.
Fourier transform and a long short-
term memory network are used to analyze the cooperation event
time sequence, a
continuous operation window is calculated, an accurate continuous period and an elastic buffer interval are formed, a cooperation relationship is matched in real time, multi-source termination signals are fused, a dynamic
recovery threshold is generated through a deep Q network, the subject access range and downstream dependence are double-checked, a non-
deadlock atomized
revocation sequence is output, a
recovery instruction is triggered through distributed
clock synchronization, and the state is confirmed by comparing audit logs, and the permission deviation is quantified by using
dynamic time warping and
mutation point detection. The application realizes accurate permission matching, intelligent
recovery and strategy self-evolution, and improves the security and efficiency of cross-enterprise cooperation.