集中式数据库字符型数据加密查询仿真  

Simulation of Character Type Data Encryption and Query in Centralized Database

作　　者：王强[1] 魏雨东 WANG Qiang;WEI Yu-dong(Tianfu College of SWUFE,Chengdu Sichuan 610000,China)

机构地区：[1]西南财经大学天府学院,四川成都610000

出　　处：《计算机仿真》2018年第7期359-362,共4页Computer Simulation

摘　　要：对集中式数据库字符型数据的加密查询,能够有效避免由于数据访问和查询而造成的数据信息泄露。对字符型数据的加密查询,需要针对信息明文进行划分,计算字符型数据密文需要占有的空间,完成其加密查询。传统方法构建字符型数据加密主密钥,获取信息门限密码体制,但忽略了对数据密文存储空间进行预测,导致加密查询精度偏低。提出基于改进椭圆曲线密码的集中式数据库字符型数据加密查询方法。将数据库字符型数据进行划分,将其加密存储在一个用户数据层中,采用代理加密技术改变动态信息访问结构。构建静态信息加密模型,针对静态信息进行明文划分,计算出存储密文需要占有的空间,通过分析决定存储空间需求的影响因素减少生成椭圆曲线点数量,降低计算能耗。实验结果表明,所提方法计算能耗低且安全性强,能够实现高精度集中式数据库字符型数据的加密查询。The encrypted query for character data in centralized database can effectively avoid the data information leakage caused by the data access and data query. The encrypted query for character data needs the partition of infor- mation plaintext and calculation of space occupied by character data eiphertext. The traditional method ignores the prediction of storage space of data ciphertext. In this article, a method of enerypting and querying character data in centralized database based on improved elliptic curve cryptography was proposed. This method divided character data in database and encrypted it which was stored in a user data layer. Then, our research used the agent eneryption technology to change the access structure of dynamic information. Moreover, this research built the static information eneryption model. Meanwhile, we carried out plaintext partition for static information and calculated the space occu- pied by storing eiphertext. Through the analysis, we decided the influence factors needed by storage space to reduce the number of elliptic curve points and the computation energy consumption. Simulation results show that the proposed method has low energy consumption and strong security, which can realize the encrypted query of character data in centralized database with high precision.

关 键 词：集中式 数据库 字符型数据 加密查询 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]