基于改进群签名和同态加密的功耗大数据隐私保护

Rixuan Qiu, M. Ai, Fuyong Zheng, Liang Liang, Yuancheng Li
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引用次数: 2

摘要

智能电网是集现代先进的信息通信、传感器测量和自动控制技术于一体的高度集成化的电力系统,包含大量的智能设备,具有可靠、灵活、安全、自愈等巨大的服务优势。然而,网络中的智能电表等设备在收集、处理和传输大量数据时,面临着泄露用户隐私的问题。针对这一问题,本文提出了一种基于改进群签名和同态加密的方案,利用改进群签名确定智能电表的公钥、私钥和用电数据的签名,对用电数据进行同态加密和聚合。最后,在数据传输中,电力数据总是以密文的形式存在,具有转发安全性的群签名方案可以避免私钥泄露带来的危害,从而起到保护隐私的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-Preserving of Power Consumption Big Data Based on Improved Group Signature and Homomorphic Encryption
Smart grid is a highly integrated power system that combines modern advanced information and communication, sensor measurement and automatic control technology, including a large number of smart devices, with reliability, flexibility, safety and self-healing advantages a great service. However, devices such as smart meter in the network face the issue of disclosing user privacy when collecting, processing, and transmitting large amounts of data. To solve this problem, this paper puts forward a scheme based on improved group signature and homomorphic encryption, using improved group signature to determine the public and private key of smart meter and the signature of electricity data, encrypting and aggregating the electricity data with homomorphic encryption. Finally, in the transmission of data, the electricity data is always in the form of ciphertext, and the group signature scheme with forwarding security can avoid the harm caused by the disclosure of the private key, thus playing a role in privacy-preserving.
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