摘要
为控制隐私数据的细粒度安全访问行为,提出分布式数据库隐私数据细粒度安全访问控制。通过分布式数据库空间划分,过滤隐私数据,利用分区方程,分解数据库空间内隐私数据,将隐私数据反应函数的构建过程定义为对分布式数据库中隐私数据挖掘的博弈过程,获取博弈因子,将细粒度划分问题转化为隐私数据在最小二乘准则下的规划问题,划分隐私数据的细粒度。利用加密算法,对隐私数据加密,依据密钥分发算法为用户分发密钥,通过密钥转换,将加密后的隐私数据上传到分布式数据库,利用数据库验证用户的令牌是否包含隐私数据的信息,建立令牌请求机制,实现隐私数据的细粒度安全访问控制。实验结果表明,经过文中方法控制后,分布式数据库的响应性能有所提高,在保证正确性的同时,还可以提高对恶意访问行为的控制能力,具有较高的实际应用价值。
In order to control the fine-grained security access behavior of private data,a research on fine-grained security access control of private data in distributed database is proposed.Through the spatial divi-sion of distributed database,privacy data is filtered,and the privacy data in database space is decomposed by partition equation.The construction process of privacy data response function is defined as the game process of privacy data mining in distributed database,and the game factors are obtained.The fine-grained division problem is transformed into the planning problem of privacy data under the least square criterion,and the fine-grained privacy data is divided.The private data is encrypted by using encryption algorithm;The keys are distributed to users according to key distribution algorithm;The encrypted private data is uploaded to dis-tributed database through key conversion,which verifies whether the user′s token contains information of pri-vate data by using database;The token request mechanism is established to realize fine-grained secure ac-cess control of private data.The experimental results show that the response performance of distributed data-base has been improved after the method control in this paper.While ensuring the correctness,it can also im-prove the control ability of malicious access behavior,which has high practical application value.
作者
杨洋
YANG Yang(Anhui Police Officer Vocational College,230031,Hefei,Anhui,China)
出处
《淮北师范大学学报（自然科学版）》
CAS
2024年第1期71-76,共6页
Journal of Huaibei Normal University：Natural Sciences
基金
安徽省高校自然科学重点项目(KJ2019A1042)
安徽警官职业学院院级自然科学重点项目(2022zkxm005)。
关键词
隐私数据
博弈因子
安全访问控制
细粒度
分布式数据库
数据加密
privacy data
game factor
security access control
fine granularity
distributed database
data en-cryption
