In the context of globalization and rapid development of information technology, cross-border flow of data has become an important part of international trade. This paper firstly analyzes the necessity and risk of data cross-border and discusses the relevant legal framework in China. Secondly, this paper, for the first time, uses Petri nets to model the business process of cross-border data flow, effectively and comprehensively describing the steps and interrelationships in the three phases of data transmission: before transmission, during transmission, and overseas maintenance. Finally, the proposed model is simulated and experimented by PIPE software, which verifies the boundedness, security and deadlock-free characteristics of the model, and proves the feasibility and necessity of Petri nets in the application of cross-border business processes of data.

Energy storage is an important part of the new power system, responsible for ensuring stable power output and balancing loads. At the same time, it is also a national critical infrastructure. As the country gradually strengthens its control over data security risks of critical infrastructure, data security issues in the energy storage industry have become a focus of attention. In this context, this paper collects and organizes and analyzes relevant literature on data security in the energy storage industry. First, the energy storage system and energy storage technology are summarized and analyzed, and the data and data characteristics of the energy storage system are explained. Secondly, the current data security risks of the energy storage system are sorted out, including BMS network security risks, user privacy leakage risks, information interaction risks of distributed energy storage systems, smart meter data leakage risks, and trust risks between devices. Based on the above data security risks, the existing energy storage data security governance methods are sorted and classified. Finally, it is summarized that the current research in the field of data security in the energy storage industry is not sufficient. This paper comprehensively analyzes the literature on data security in the energy storage industry in recent years, which will provide support for the research on data security governance in the energy storage industry.

Recently, the satellite network is emerged to guarantee the demand of seamless connectivity of Internet of Things (IoT) devices, which can provide services for IoT devices at anytime and anywhere. However, the satellite suffers from jamming attack due to its highly exposed satellite-ground links and spot-beams, which may cause severe security problems. In order to combat the jamming attack, we first analyze the performance of Satellite IoT (SIoT) in terms of the transmission rate. Then, we propose an anti-jamming strategy for SIoT by using the technique of beam switching, where a suitable satellite that offers sufficient spatial diversity can be chosen to swap the coverage with the attacked satellite. To this end, the coverage relationship between satellites and ground cells is investigated using the game theory and the satellite beam angle is further optimized to maximize the sum transmission rate of satellite clusters. Simulation results show that the proposed strategy can provide high achievable transmission rate for SIoT networks when jamming attacks happen.