A smart city requires an intelligent infrastructure to improve the quality of life with sustainable environment for its citizens. There is an exponential demand for efficient, secure, reliable, and uninterrupted electricity supply, so there is a need for an intelligent grid, which uses Information and Communications Technology (ICT) to optimize the generation, circulation, and ingestion of electricity. Thus, Smart Grid (SG) acts as an intelligent grid, which plays an important role in the overall growth of any smart city. Further, the Big Data (BD) generated from SG, provides noteworthy information that could significantly benefit different applications of SG, such as demand response and load profiling. However, an insecure technique for decision-making may lead to the breach of SG data where hackers gained full access to consumer data. On the contrary, a secure technique for decision-making can provide satisfaction to all the stakeholders, including consumers and utility providers. Motivated from these facts, this paper presents a comprehensive literature survey and analysis of state-of-the-art proposals for Secure Data Analytics (SDA) in the SG system. However, to achieve SDA for the SG systems is one of the critical tasks. The existing research and development endeavors not fully exploited the SDA in the SG system. In this paper, we discuss the distinctive nature of SDA and its complexity over the SG data. A detailed taxonomy abstracted into a novel process model, which highlights various research challenges such as secure data collection and preprocessing, secure load data processing and storage, load prediction, load management and analysis, data security and privacy issues, and data communication. Finally, a case study is presented to demonstrate the process model.

智慧城市需要智慧的基础设施，为市民提供可持续的环境，以改善生活质量。对高效，安全，可靠和不间断的电力供应有指数需求，因此需要一种智能电网，该电网使用信息和通信技术（ICT）来优化电力的产生，循环和吸收。因此，智能电网（SG）可以充当智能电网，在任何智能城市的整体增长中发挥重要作用。此外，从SG生成的大数据（BD）提供了值得注意的信息，这些信息可能会极大地使SG的不同应用受益，例如需求响应和负载分析。但是，用于决策的不安全技术可能会导致SG数据遭到破坏，从而使黑客获得了对消费者数据的完全访问权限。相反，一种安全的决策技术可以使包括消费者和公用事业提供者在内的所有利益相关者满意。基于这些事实，本文对SG系统中的安全数据分析（SDA）的最新建议进行了全面的文献调查和分析。但是，为SG系统实现SDA是关键任务之一。现有的研发努力并未充分利用SG系统中的SDA。在本文中，我们讨论了SDA的独特性质及其在SG数据上的复杂性。详细的分类法被抽象到新颖的过程模型中，突出了各种研究挑战，例如安全数据收集和预处理，安全负载数据处理和存储，负载预测，负载管理和分析，数据安全和隐私问题，和数据通信。最后，提供了一个案例研究来演示过程模型。