首页> 外文学位 >Improved attribute-based encryption with FPGA for automatic appliance control application in smart grid.
【24h】

Improved attribute-based encryption with FPGA for automatic appliance control application in smart grid.

机译:改进的基于FPGA的基于属性的加密,用于智能电网中的自动设备控制应用。

获取原文
获取原文并翻译 | 示例

摘要

In this thesis, the author describes the privacy violation issues in smart grid with Automatic Appliance Control applications, and explains the security threats related to it. The smart grid is a sensitive and sophisticated system in real life operation. A mass of data including the remote control commands and users' energy consumptions is transmitted between the utility companies and other devices in the smart grid such as the substations, smart meters, smart home appliances and much more. Without efficient cryptographic methods, an adversary may hack into the data or the remote control commands and extrapolates a resident's activity model. Therefore, the Attribute-Based Encryption (ABE) is proposed to provide protection through generating the secret key of user based on a set of attributes which is used to identify different users in the smart grid. And the ciphertext, which is the encrypted remote command, obtains the access policy for decryption. However, ABE algorithm requires long computational time especially a large quantity of attributes are required in a smart grid. The idea of improved ABE system with FPGA is proposed to solve the problem. But the FPGA is only conceptual idea in this thesis and future work of it will be done by other co-worker.
机译:在本文中,作者描述了具有自动设备控制应用程序的智能电网中的隐私侵犯问题,并解释了与此相关的安全威胁。智能电网是现实生活中敏感而复杂的系统。在公用事业公司和智能电网中的其他设备(例如变电站,智能电表,智能家电等)之间传输大量数据,包括远程控制命令和用户的能耗。如果没有有效的加密方法,对手可能会侵入数据或远程控制命令并推断居民的活动模型。因此,提出了基于属性的加密(ABE),通过基于用于识别智能电网中不同用户的一组属性生成用户的秘密密钥来提供保护。并且,作为加密的远程命令的密文获得用于解密的访问策略。但是,ABE算法需要较长的计算时间,尤其是智能电网中需要大量的属性。提出了用FPGA改进ABE系统的思想。但是,FPGA在本文中只是概念性的想法,它的未来工作将由其他同事完成。

著录项

  • 作者

    Wang, Xueqing.;

  • 作者单位

    The University of Wisconsin - Milwaukee.;

  • 授予单位 The University of Wisconsin - Milwaukee.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2016
  • 页码 28 p.
  • 总页数 28
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号