基于云计算的广域量测系统数据存储与安全方法研究

发布时间：2018-10-15 08:49

【摘要】：广域量测系统作为智能电网体系结构中的重要组成部分,其数据的安全性很大程度上决定着整个智能电网的安全性。随着广域量测系统应用的普及,智能电网广域量测系统所产生的数据会越来越多,针对广域量测系统大量数据存储的需求,传统的数据存储方式所承受的压力越来越大,Hadoop平台上的分布式文件系统(HDFS)可以有效解决这些问题。与此同时,虽然Hadoop平台上的HDFS在大量数据的共享和存储方面拥有显著优势,但它所带来的安全问题也不容忽视。因此,保障智能电网广域量测数据的安全成为智能电网广域量测系统数据存储时迫切需要解决的问题。数据加密技术是最基本的一种保障数据机密性的方法,对保障智能电网存储平台中数据的安全具有重要的现实意义。本课题深入研究了广域量测系统存储与安全问题,并完成了以下几方面的工作:首先,深入分析了广域量测系统数据的特点,针对广域量测系统数据量大的特点引入HDFS进行分布式存储,同时,针对数据对于安全性要求高的特点,对数据完整性验证和私密性保护两个方面进行了深入的研究。其次,针对广域量测系统数据量大,数据实时性要求高,数据安全性要求强等问题,设计了智能电网广域量测系统云计算平台。在此基础之上,针对数据存储于云端所面临的安全问题,从数据私密性保护和完整性验证两个方面分别进行方案的设计。针对数据私密性保护的问题,采用加密技术,将传统AES算法进行并行化设计,给出了基于Storm云计算技术的广域量测系统数据加密方案,此方案可以满足对广域量测系统数据的快速、并行加密;针对数据完整性验证问题,给出了基于可信第三方的单项审计、批量审计方案,并验证了方案的安全性。最后,为实现文件的分布式存储与快速查询,搭建了Hadoop集群和HBase分布式数据库,同时在此集群的基础之上安装Storm-on-yarn,在Storm平台上验证了并行AES算法的具有处理延迟低、速度快等特点。
[Abstract]:As an important part of smart grid architecture, wide area measurement system (WAMS) determines the security of the whole smart grid to a large extent by the security of its data. With the popularization of wide area measurement system, more and more data will be generated by smart grid wide area measurement system. The traditional data storage method is under more and more pressure. The distributed file system (HDFS) on Hadoop platform can solve these problems effectively. At the same time, although HDFS on Hadoop platform has significant advantages in data sharing and storage, the security problems it brings can not be ignored. Therefore, ensuring the security of smart grid wide area measurement data becomes an urgent problem to be solved when storing data in smart grid wide area measurement system. Data encryption technology is the most basic method to protect data confidentiality, which has important practical significance to ensure the security of data in smart grid storage platform. In this paper, the storage and security problems of wide area measurement system are deeply studied, and the following work is accomplished: firstly, the characteristics of wide area measurement system data are deeply analyzed. In view of the large amount of data in wide-area measurement system, HDFS is introduced for distributed storage. At the same time, two aspects of data integrity verification and privacy protection are deeply studied in view of the high security requirements of data. Secondly, aiming at the problems of large amount of data, high requirement of real-time data and strong requirement of data security in wide-area measurement system, a cloud computing platform for wide-area measurement system of smart grid is designed. On this basis, aiming at the security problems faced by data stored in the cloud, the scheme is designed from two aspects of data privacy protection and integrity verification. Aiming at the problem of data privacy protection, the data encryption scheme of wide-area measurement system based on Storm cloud computing technology is presented by using encryption technology and parallel design of traditional AES algorithm. This scheme can satisfy the requirement of fast and parallel data encryption for wide area measurement system. Aiming at the problem of data integrity verification, a single audit and batch audit scheme based on trusted third party is presented, and the security of the scheme is verified. Finally, in order to realize the distributed storage and fast query of files, Hadoop cluster and HBase distributed database are built. At the same time, Storm-on-yarn, is installed on the Storm platform to verify the low processing delay of parallel AES algorithm. Speed, etc.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP333;TP309.2

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