作　　者： (张稼）; ;

机构地区： 广东工业大学华立学院

出　　处： 《计算机仿真》 2023年第5期295-298,共4页

摘　　要： 当前的大数据属性授权加密算法无法实现大数据链路权值的分配,导致网络负载不均衡,抗入侵能力较低,数据授权加密效果不理想。为此,研究新的基于链路权值的大数据属性授权加密算法。合理分配链路权值,有效避开网络传输中的高负载链路,保证负载均衡分布。设置跳数限制条件,并依据此条件选出最短路径,避免网络资源浪费。在此基础上,通过属性授权加密算法,构建大数据访问控制协议,结合切比雪夫映射与轻量级属性加密完成用户身份的合法认证及可靠性授权。仿真结果表明,上述加密算法可有效均衡化网络负载,具有较高的抗攻击性。保障网络的吞吐量并避免延迟,增强了网络传输大数据的通畅性及访问的安全性。 Currently,the authorization encryption algorithm for big data attribute cannot distribute big data link weights,leading to unbalanced network load,low anti-intrusion ability and unsatisfactory authorization and encryption for data.Therefore,a new authorization and encryption algorithm for big data attribute based on link weight was studied.Reasonable allocation for link weights can effectively avoid high load links in network transmission and ensure the load balance.In order to avoid the waste of network resources,the hop limit was set.On this basis the shortest path was selected.After that,the big data access control protocol was constructed through the attribute authorization encryption algorithm.Combined with Chebyshev map and lightweight attribute encryption,we completed the legal authentication and authorization of reliability for user identity.Simulation results prove that the proposed algorithm can effectively balance the network load,with high attack resistance;In addition,the algorithm ensures the throughput of network and avoids delay,as well as enhancing the smoothness of network transmission of big data and the security of access.

关 键 词： 链路权值 大数据属性 授权加密 负载均衡 密文策略

领　　域： [自动化与计算机技术—计算机系统结构] [自动化与计算机技术—计算机科学与技术]