Evidence chaining data desensitization method fusing blood relationship constraint and version fingerprint

Abstract

The present application relates to the field of data security and desensitization processing, and discloses a method for evidence chaining data desensitization fusing field blood relationship constraint and version fingerprint, comprising the following steps: constructing a field blood relationship graph and obtaining a normalized dependency degree by formula calculation, matching a strategy subset for a field to be processed, filtering and outputting a feasible strategy solution set according to a back-identification risk threshold, adopting formula calculation to output a desensitization strategy matrix, wherein a normalized dependency degree is introduced as a penalty term for trace retention value, executing desensitization by using the desensitization strategy matrix and generating a strategy abstract, coupling with a processing context abstract and a previous stage fingerprint, calculating a current stage fingerprint and a record abstract value; comparing and verifying a reconstructed fingerprint in a state to output drift information and trigger a response mechanism to control a link. The present application balances desensitization strength and utility by using field blood relationship constraint, establishes a chain evidence structure through a version fingerprint, and realizes whole-process tamper-proof right confirmation and abnormal change self-recovery control.

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