System Design of Internet-of-Things for Residential Smart Grid

Internet-of-Things (IoTs) envisions to integrate, coordinate, communicate, and collaborate real-world objects in order to perform daily tasks in a more intelligent and efficient manner. To comprehend this vision, this paper studies the design of a large scale IoT system for smart grid application, which constitutes a large number of home users and has the requirement of fast response time. In particular, we focus on the messaging protocol of a universal IoT home gateway, where our cloud enabled system consists of a backend server, unified home gateway (UHG) at the end users, and user interface for mobile devices. We discuss the features of such IoT system to support a large scale deployment with a UHG and real-time residential smart grid applications. Based on the requirements, we design an IoT system using the XMPP protocol, and implemented in a testbed for energy management applications. To show the effectiveness of the designed testbed, we present some results using the proposed IoT architecture.Comment: 10 pages, 6 figures, journal pape

Security Aspects of Internet of Things aided Smart Grids: a Bibliometric Survey

The integration of sensors and communication technology in power systems, known as the smart grid, is an emerging topic in science and technology. One of the critical issues in the smart grid is its increased vulnerability to cyber threats. As such, various types of threats and defense mechanisms are proposed in literature. This paper offers a bibliometric survey of research papers focused on the security aspects of Internet of Things (IoT) aided smart grids. To the best of the authors' knowledge, this is the very first bibliometric survey paper in this specific field. A bibliometric analysis of all journal articles is performed and the findings are sorted by dates, authorship, and key concepts. Furthermore, this paper also summarizes the types of cyber threats facing the smart grid, the various security mechanisms proposed in literature, as well as the research gaps in the field of smart grid security.Comment: The paper is published in Elsevier's Internet of Things journal. 25 pages + 20 pages of reference

IoT and information processing in smart energy applications.

The articles in this special section address smart energy applications from the perspective of the Internet of Things (IoT). For smart grid applications, we need to predict the electrical load so that the underlying smart grid can effectively balance the power supply and demand. In general, predictions are made based on the data obtained using IoT and smart meter technologies. The (IoT) could accelerate establishment of such infrastructures. With IoT technologies, many more devices could be controlled and managed through the Internet; data pertaining to the grid, commercial buildings, and residential premises can readily be collected and utilized. To derive valuable information from the data, further information and data processing become essential

Fog computing, applications , security and challenges, review

The internet of things originates a world where on daily basis objects can join the internet and interchange information and in addition process, store, gather them from the nearby environment, and effectively mediate on it. A remarkable number of services might be imagined by abusing the internet of things. Fog computing which is otherwise called edge computing was introduced in 2012 as a considered is a prioritized choice for the internet of things applications. As fog computing extend services of cloud near to the edge of the network and make possible computations, communications, and storage services in proximity to the end user. Fog computing cannot only provide low latency, location awareness but also enhance real-time applications, quality of services, mobility, security and privacy in the internet of things applications scenarios. In this paper, we will summarize and overview fog computing model architecture, characteristic, similar paradigm and various applications in real-time scenarios such as smart grid, traffic control system and augmented reality. Finally, security challenges are presented

Impact of Distributed Denial-of-Service Attack on Advanced Metering Infrastructure

The age of Internet of Things has brought in new challenges specifically in areas such as security. The evolution of classic power grids to smart grids is a prime example of how everything is now being connected to the Internet. With the power grid becoming smart, the information and communication systems supporting it is subject to both classical and emerging cyber-attacks. The article investigates the vulnerabilities caused by a distributed denial-of-service (DDoS) attack on the smart grid advanced metering infrastructure. Attack simulations have been conducted on a realistic electrical grid topology. The simulated network consisted of smart meters, power plant and utility server. Finally, the impact of large scale DDoS attacks on the distribution system’s reliability is discussed

Security Issues and Challenges for the IoT-based Smart Grid

AbstractInternet of Things (IoT) is the next step evolution of our today Internet, where any physical object/thing having/equipped with computation and communication capabilities could be seamlessly integrated, at different levels, to the Internet. The Smart Grid (SG), which is considered as one of the most critical Infrastructures, is defined as the classical power grid augmented with a large-scale ICT and renewable energy integration, can be seen as one of the largest IoT network. The SG will involve billions of smart objects/things: smart meters, smart appliances, sensors, actuators-cars, etc. in addition to several communication infrastructures whether public (most often) or private. However, security is seen as one of the major factors hampering the rapid and large scale adoption and deployment of both the IoT vision and the Smart Grid.In this paper we investigate the security issues and challenges on the IoT-based SG, and define the major security services that we should consider when dealing with SG securit