After the Smart City initiative was put forward, cities all over the world started the pilot practice of developing Smart Cities. This triggered a series of thoughts: what is a Smart City, how do we determine the scope of work of a Smart City, and how do we formulate a new strategic agenda of the Smart City to make city smarter and more sustainable? The answer lies not only in finding Smart City solutions, but also leads to the research on the definition of Smart City terminology and the determination of corresponding tasks. Stakeholders of Smart City (e.g., policy makers, municipalities, solution providers, industry, and academia) develop technical and management standards for these tasks jointly. This paper reports the standardization planning on Smart City by the international standardization development organizations (SDOs), that is, the standardization framework of Smart City. It also presents one of the important aspects, namely, the progress of standardization activities on urban infrastructure that are being carried out by the International Telecommunication Union (ITU) via its Study Group 20, in supporting the adoption of information and communication technologies (ICTs) in Smart City. These standards include the classification of urban infrastructure, the interoperability between urban infrastructure and smart city platforms, and the requirements of detailed infrastructure from the perspective of ICT and the Internet of things (IoT). This paper also provides the use cases of application of some standards in global cities.

Recently, IoT devices have become the targets of large-scale cyberattacks, and their security issues have been increasingly serious. However, due to the limited memory and battery power of IoT devices, it is hardly possible to install traditional security software, such as antivirus software for security defense. Meanwhile, network-based traffic detection is difficult to obtain the internal behavior states and conduct in-depth security analysis because more and more IoT devices use encrypted traffic. Therefore, how to obtain complex security behaviors and states inside IoT devices and perform security detection and defense is an issue that needs to be solved urgently. Aiming at this issue, we propose IoT-DeepSense, a behavioral security detection system of IoT devices based on firmware virtualization and deep learning. IoT-DeepSense constructs the real operating environment of the IoT device system to capture the fine-grained system behaviors and then leverages an LSTM-based IoT system behavior abnormality detection approach to effectively extract the hidden features of the system’s behavior sequence and enforce the security detection of the abnormal behavior of the IoT devices. The design and implementation of IoT-DeepSense are carried out on an independent Internet of things behavior detection server, without modifying the limited resources of IoT devices, and have strong scalability. The evaluation results show that IoT-DeepSense achieves a high behavioral detection rate of 92%, with negligible impact on the performance of IoT devices.

This paper analyses the current status of the intelligent substation industrial control system network and the main problems of security protection methods. Based on the analysis of the characteristics of intelligent substation industrial control network, a vulnerability scanning system based on OpenVAS is designed. The vulnerability scanning system is superior to the original vulnerability scanning system in performance and functionality, which effectively improves the security performance of the entire system and reduces system risk.

In order to give full play to the frequency regulation ability of multiple types of resources such as wind power, energy storage, and controllable load in a microgrid, this paper proposes a hierarchical cooperative frequency regulation control strategy of wind-storage-load in a microgrid based on model prediction. Firstly, according to the operation characteristics of each resource in the microgrid, a hierarchical cooperative frequency regulation architecture of wind-storage-load is constructed. On this basis, the frequency regulation control models of wind power, energy storage, and controllable load are established, respectively, and the calculation method of the characteristic index of the system frequency response is proposed. Then, taking the maximum frequency deviation as the stratification index, a hierarchical cooperative frequency regulation control strategy of wind-storage-load based on model prediction is proposed, and a power compensation strategy for connecting the wind turbine frequency support is proposed for the wind turbine speed recovery stage. Finally, a microgrid model including wind power, energy storage, and controllable load is built on Matlab/Simulink for simulation analysis. The simulation results show that the proposed control strategy can control wind power, energy storage, and controllable load to participate in frequency modulation in advance, and improve the frequency stability of the system.

Power Internet of things (IoT) is deemed as a promising network platform with widely deployed infrastructure to boost efficient information delivery in the power grid. Due to the long history of the mature power grid and increased requirements from various industries, the architecture of power IoT should be carefully investigated. Specifically, a large number of end devices in the power grid are required to simultaneously report their sensed information to the management side. However, there are few works related to the uniform communication mechanism to support various devices made by different manufacturers. In this paper, we study the architecture of power IoT for high concurrency access. For each layer of power IoT, we study its fundamental structure and functionality. Moreover, according to the architecture of power IoT, we propose an integrated gateway to support multiple end device simultaneous access. The simulation results verify that the proposed gateway can work well in different network traffic and communication protocols.