基于属性加密算法的大规模财政数据分级安全存储方法研究

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中图分类号：TP309 文献标志码：B 文章编码：1672-7274（2025）04-0010-03

Abstract： Due to the complexity of large-scale fiscal data composition，the data recovery rate is low.Therefore， this articledesigns acolaborativecontrol method foroperationand inspection sites based on wireless ad hocnetwork. Firstly，itidentifiesthesensitivityoffinancial datathrough cloudcomputing，quantifies sensitivityusing information gain，and ensures thatcritical data is protected with emphasis.Secondly，basedon attributeencryptionalgorithms， dynamic encryptionkeysare generatedtoencrypt plaintext financial data.Finalydesigna hierarchical secure storage modeltoensure the secure storage and efcientaccess ofencrypted financialdata.Whenreadingdata，due tothe data being split into discontinuous blocks and encrypted for storage，only legitimateusers who obtain allthe split blocks andapply the corrct decryption rules canrecover the originaldata，thusachieving gradedand securestorage of largescalefinancial data.Theexperimental results showthatthe average data recoveryrateof this design method is as high as 94% ， proving thatthe designed storage method can maintain a high data recovery rate under different data volumes， effectively reducing therisk of data damage orloss.

Keywords： attribute encryption; financial data; data sensitivity; master key; hierarchical secure storage

在信息化快速发展的今天，面对大规模财政数据的处理与存储需求，如何实现高效且安全的数据管理成为一个亟待解决的问题。（剩余3555字）