Research On Rules And Standards For Data Anonymization Processing

In the context of the rapid development of the digital economy,the Personal Information Protection Law responds to the call for data information protection and balances the interests of multiple subjects carried on data information.The Personal Information Protection Law limits the scope of protection to "personal information of natural persons",with the exception of data information that cannot be recovered after anonymization that does not identify a specific individual,i.e.,anonymous data information formed after anonymization technology masks identifiers in the data that can identify a specific subject may be disclosed to the market without the consent of the original data subject.The data can be circulated on the market without the consent of the original data subject.However,the current data anonymization rules are rather principled and there is no practical and enforceable operation specification,and there is no way to judge whether the anonymization processing of data enterprises meets the security standards;at the same time,due to the limitation of technology and the requirement of enterprises to explore the value behind the data,there is no data that requires absolute anonymity,which makes the anonymous data face the technical threat of being re-identified as the original subject in circulation,and there is the risk of data leakage and data infringement.This makes the circulation of anonymous data face the technical threat of re-identification of the original subject and the risk of data leakage and data infringement.In this paper,from the characteristics of data dynamics,the legality requirements of data acquisition are clarified,the anonymization process is targeted according to the level of data sensitivity at different stages,and operable anonymization rules are provided for data processing enterprises;due to the influence of specific circulation scenarios on the anonymization effect,processing enterprises improve external administrative supervision by evaluating the key factors affecting the anonymization effect in specific scenarios,and strengthen Industry autonomy is strengthened to reduce the remaining risk of anonymous data being re-identified in public circulation to a safe threshold,effectively sever the link between data information and the original data subject,and get rid of being bound by the data subject’s consent rules.The improvement of data anonymization processing rules effectively connects other data protection rules,promotes the orderly flow of anonymous data information into the market and maximizes the reuse value.