云实验室数据库资源云存储属性基加密仿真

Research on Encryption Simulation of Attributes Based on Cloud LabDatabase Resource Cloud Storage

目前云实验室数据库资源存储加密方法存在抗攻击能力弱且稳定性差,提出新的数据库资源云存储属性基加密方法。根据用户属性集合情况做解密,获取迭代加密密钥。结合双线性、复杂性假设、递归方法对云储存数据做属性基加密处理,通过该系统周期性地更替密钥方法撤销云存储属性基,引入反证法证明属性基加密的安全性。实验结果表明,新方法可有效减少资源云存储加密受攻击次数,且具有较高稳定性。证明新方法具有较好应用前景,相比传统方法存在明显优势。

At present, the method of encryption for cloud storage resource in cloud lab database has the problems about weak anti-attack ability and poor stability. Therefore, a method of attribute-base encryption for cloud storage database resource was put forward. Based on decryption of user attribute set, the iterative encryption key was obtained. Moreover, the bilinear method, complexity hypothesis and recursive method were used to perform the attribute-base encryption on cloud storage data. In addition, this system was adopted to periodically replace the key, and then the cloud storage attribute-base was rescinded. Finally, the security of attribute-base encryption was proved by reduction to absurdity. Simulation results prove that the proposed method can effectively reduce the number of attacks on cloud storage encryption. Meanwhile, its high stability can bring a good application prospect.