调控云架构下的长短期电网运维行为大数据防泄露分布式存储仿真

Simulation of Regulating the Long Short-term Power Grid Operation and Maintenance Behavior to Prevent Big Data Leakage under the Cloud Architecture and Distributed Storage

为了实现大数据安全体系,对边界安全、访问控制和授权、数据保护、审计和监控提供支持,增强大数据存储的稳定性与安全性,提出调控云架构下的长短期电网运维行为大数据防泄露分布式存储仿真。构建长短期电网运维行为大数据防泄露分布式存储的调控云架构,采用网格技术构建大数据的分布式存储结构,对网格信息进行分级与调度,通过分类并处理冗余数据降低冗余数据对分布式存储的影响,并采用密度演化结合数据特征压缩的存储方法,实现长短期电网运维行为的数据分布式存储;调控云架构的云安全加密部分通过调控云架构初始化、密钥产生、明文信息加密、密文分布式存储,防止分布式存储大数据泄露。实验结果表明:该方法存储性能好,数据上传速度快,存储过程稳定,能够保证存储数据安全性及计算机系统负载均衡。

In order to realize the big data security,provide support for boundary security,access control and authorization,data protection,auditing and monitoring,and enhance the stability and security of big data storage,it is proposed to regulate the long short-term power grid operation and maintenance behavior under the cloud architecture and distributed storage.This paper constructs a long short-term power grid operation and maintenance behavior big data leak-proof distributed storage regulation cloud architecture,uses grid technology to build a big data distributed storage structure,classify and schedule grid information,and reduces redundant data by classifying and processing redundant data.The impact of remaining data on distributed storage,and the storage method of density evolution combined with data feature compression are used to realize data distributed storage of long short-term power grid operation and maintenance behavior.The cloud security encryption part of cloud architecture is controlled by adjusting cloud architecture initialization,key generation,encryption of plaintext information,and distributed storage of ciphertext to prevent the leakage of distributed storage.The experimental results show that the method has good storage performance,fast data upload speed,stable storage process,and can ensure the safety of stored data and the load balance of the computer system.