基于属性规则的复合电力数据权限加密算法

Design of a Composite Power Data Authorization Encryption Algorithm Based on Attribute Rules

由于复合电力数据的用户数量较多及其来源多样化,导致差异域的安全设计存在不一致性,从而产生信息泄漏的情况。提出一种基于属性规则的复合电力数据权限加密算法。该算法的权限管理主要使用基于属性群的密文访问控制策略实现:电力系统按照自身管理的用户属性构建用户私钥,各个电力数据管理部门按照自身管理的用户属性构建路径密钥;基于构建的私钥和密钥,对电力数据文件实施重加密,完成电力数据访问约束。实验结果表明,应用该文方法后,电力数据中私密信息出现的概率仅有0.66%,相比之前降低了5.88%,且操作耗时为10.3 ms、CPU占用率为10.22%、数据入侵率为1.23%,均低于其他方法;其鲁棒性最大值均为98.99%,且不会随密钥长度的变大而降低,始终高于98%。说明该文方法提高了鲁棒性和安全性,且操作效率快、CPU占用率低,其应用价值显著。

Due to the large number of users and diverse sources of composite power data,inconsistency exists in the design for differential domains,which results in information leakage.To this end,this paper proposes an attribute rulebased permission encryption algorithm for compound power dat.The permission management of this algorithm is mainly achieved by using the ciphertext access control strategy based on attribute group:the power system first constructs the user private key according to the user attribute of its own management,and each power data management department constructs the path key according to the user attribute of its own management.Based on the private key and the key constructed,the power data file is re-encrypted to complete the power data access constraints.The experimental results show that with this proposed method applied the probability of the occurrence of private information in the power data is only 0.66%,which is 5.88%lower than before,effectively protecting the power data permission.Compared with other methods,the analysis of operation efficiency,CPU occupancy,robustness and intrusion rate shows that the operation time of this method is only 10.3ms,CPU occupancy is only 10.22%and intrusion rate is only 1.23%,which are all lower than other methods,and the maximum robustness of this method is 98.99%.It is always higher than 98%with the increase of key length,while the maximum of other methods is only 91.02%.Therefore,the method effectively reduces the power data intrusion rate,improves the robustness and security,and has a fast operation efficiency and low CPU occupancy,which has significant application value.