智能电网云存储访问控制中用户属性更新撤销方法研究
[Abstract]:With the rapid development of smart grid technology, the emergence of power big data will make the power system data and information explosive growth. In the face of massive, distributed and heterogeneous information, the existing power system data storage platform is difficult to meet the storage requirements of smart grid information. Cloud storage system has great advantages in storing and sharing massive data, but it also brings hidden trouble to data security in smart grid cloud storage system. Therefore, ensuring the security of data becomes an urgent problem in smart grid cloud storage system. Access control technology can prevent unauthorized users from accessing system resources and ensure the security of data. Access control based on attributes can realize complex and fine-grained access control by setting access policy reasonably. It can be used in smart grid cloud storage system. However, in the practical application of attribute-based access control, user attribute update revocation is an inevitable problem. In order to solve this problem, this paper deeply studies the attribute-based access control model in smart grid cloud storage system, and designs a user attribute update revocation method. The following works have been accomplished: (1) aiming at the problem of updating and revocation of user attributes in attribute-based access control, the encryption algorithm based on ciphertext attributes and the scheme of user revocation based on attributes are combined and improved. A user attribute update revocation algorithm is designed, the security of the algorithm is analyzed theoretically, and the efficiency of user attribute updating is improved. (2) aiming at the problem of user attribute update revocation in smart grid, This paper presents an access control model for multiple authorization centers in smart grid cloud storage systems, and applies the user attribute update revocation algorithm proposed in this paper to smart grid cloud storage systems. The efficiency of private key updating is improved. (3) the Spark cloud storage platform with nine nodes is built using laboratory equipment, and the execution efficiency of user attribute updating method is tested by using the historical data of a power supply bureau. Compared with the traditional method, the proposed method can significantly improve the execution time of user attribute update revocation.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP309;TM76
【参考文献】
相关期刊论文 前10条
1 刘雪艳;张强;李战明;曹素珍;;面向智能电网通信系统的数据聚合和访问控制方法[J];电力系统自动化;2016年14期
2 薛禹胜;赖业宁;;大能源思维与大数据思维的融合(一)大数据与电力大数据[J];电力系统自动化;2016年01期
3 孟祥萍;周来;王晖;纪秀;;HBase在智能电网异构数据同步中的应用[J];电力系统保护与控制;2015年24期
4 王诏远;王宏杰;邢焕来;李天瑞;;基于Spark的蚁群优化算法[J];计算机应用;2015年10期
5 郑凤飞;黄文培;贾明正;;基于Spark的矩阵分解推荐算法[J];计算机应用;2015年10期
6 张柄虹;张串绒;焦和平;张欣威;;一种属性可撤销的安全云存储模型[J];计算机科学;2015年07期
7 刘萍萍;闫琳英;;面向云存储的访问控制系统的研究[J];西安工业大学学报;2015年05期
8 王于丁;杨家海;徐聪;凌晓;杨洋;;云计算访问控制技术研究综述[J];软件学报;2015年05期
9 彭小圣;邓迪元;程时杰;文劲宇;李朝晖;牛林;;面向智能电网应用的电力大数据关键技术[J];中国电机工程学报;2015年03期
10 张沛;杨华飞;许元斌;;电力大数据及其在电网公司的应用(英文)[J];中国电机工程学报;2014年S1期
相关硕士学位论文 前5条
1 明镜;智能配电网云存储中基于属性的访问控制研究[D];华北电力大学;2015年
2 甘玉芳;面向智能电网云存储的基于属性角色的访问控制研究[D];华北电力大学;2015年
3 梁彦;基于分布式平台Spark和YARN的数据挖掘算法的并行化研究[D];中山大学;2014年
4 连燕玲;基于属性签名的自适应匿名认证[D];福建师范大学;2014年
5 赵雪良;电力云存储中基于属性和策略的访问控制研究[D];华北电力大学;2014年
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