V2G网络中电动汽车作为智能电网新能源接入的缓冲，因其能起到“削峰填谷”的作用等特性和潜在的重要社会经济应用价值，近年受到国内外政府、企业和高等院校的高度重视。本课题前期研究发现V2G交互信息不但与用户隐私密切相关而且还与电网效用有直接的联系。隐私保护与电网可用性的平衡是V2G网络信息安全研究面临的一个崭新的课题。面向传统网络设计的隐私保护机制难以有效地解决这一问题。本课题将针对电动汽车分别在充放电模式和行驶模式下与电网信息交互过程中存在的隐私泄露问题，从电网的能源优化调控、负荷预测等功能需求出发，研究面向统计分析的隐私保护机制；面向认证溯源的隐私保护机制；面向电网可用性的隐私保护的质量评价机制。最终，形成完善的隐私保护体系。该项目注重研究隐私保护后信息的可计算性、可认证性和可追溯性等理论和技术上的前瞻性，研究成果将对增强V2G网络交互信息的共享度和安全性提供系统的设计理论和分析方法。

Electric vehicles in V2G network are emerging as a promising approach to addressing many important energy optimization problems, such as, as a buffer to the new energy and to the peak-load shifting etc., which keep receiving research attention from both the academia and the industry. We have found from our previous study that V2G interactive data is not only closely related to users' privacy, but also directly related to the utility optimization of power grid. Thus, the trade-off between privacy protection and power grid availability is a new challenge for information security research in V2G network. Though there have been extensive studies on privacy preservation, it is very hard or not applicable to adopt existing schemes in these related scenarios. This project will try to address the privacy disclosure of electric vehicles in the charging or discharging state and the driving state, respectively. According to the functional requirements of energy optimization and load forecasting, we will design the privacy preserving mechanism for statistical analysis; the privacy preserving mechanism; the quality evaluation mechanism of privacy preserving for grid availability. Finally, a set of perfect privacy preserving mechanism is formed. This project focuses on the theoretical and technological foresight of information computation, authentication and traceability after data privacy preservation. The research results will provide a systematic design theory and analysis method for enhancing the sharing and security of V2G network interaction information.