Emerging communication technologies and security challenges in a smart grid wireless ecosystem

Pitas, Charalampos N.; Tsirakis, Christos; Zotou, Effrosyni Th.; Panagopoulos, Athanasios D.

doi:10.1504/ijwmc.2014.062009

Cited by 5 publications

(5 citation statements)

References 29 publications

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“…The term smart grid refers to "a next generation power grid that uses two-way flows of electricity and information to create a widely distributed automated energy delivery network" [100]. Within IoT, the research on smart grids are related to security [101][102][103], cloud computing [104,105], and privacy [103,106,107].…”

Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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“…Visualization technology is widely used in smart grids to monitor and control the operation of the grid in real time, which can effectively improve the automation level of the power system [25]. Spatial information flow display technology is usually embodied in the fusion of grid parameters and existing GIS, such as three-dimensional display technology and virtual reality technology.…”

Section: Data Presentation Technologymentioning

confidence: 99%

Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid

Huang

Sun

et al. 2019

IEEE Access

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Mobile computing adds computing, storage, processing and other functions in wireless network ends to provide customized and differentiated services, so that it can be widely applied in the fields of internet of things, video, medical treatment, retail and so on. Recently, power spatio-temporal big data (PSTBD) technology of smart grid based on mobile computing has experienced explosive growth. This paper emphasizes the specific requirements, technologies, applications, and challenges of the current PSTBD for mobile computing in smart grid. Based on current development status of PSTBD companies in representative countries in the world, we introduce PSTBD technology based on the characteristics of mobile computing based smart grid, and conduct a comprehensive investigation and analysis of relevant articles in this field. After comparing the differences between the traditional and the PSTBD based platform in the aspects of important features, platform goal, and platform architecture, we describe the key technologies and algorithms of the current PSTBD in detail. Then, based on the requirements of each link and field of the power grid, the typical application of PSTBD technology in various aspects of smart grid application based on mobile computing is discussed. Finally, the development direction and challenges of PSTBD are given. Through data analysis and technical discussion, it hopes to provide technical support and decision support for relevant practitioners in the PSTBD field.INDEX TERMS Mobile computing, data processing, smart grids, spatio-temporal big data. I. INTRODUCTIONPower spatio-temporal big data based on mobile computing refers to ''power+mobile equipment+big data'', which collects and processes multi-source, heterogeneous, multi-dimensional and multi-form spatio-temporal big data in various links from generation, transmission, transformation, distribution, power consumption to dispatching power production and power service. The characteristics of Power Spatio-Temporal Big Data (PSTBD) meet the ''5V3E'' characteristics [4]-[6], as shown in Fig. 1. In addition to ''3E''The associate editor coordinating the review of this manuscript and approving it for publication was Xuxun Liu .which is energy, exchange, and empathy, the ''5V'' is as follows.Volume: Conventional power dispatching system includes hundreds of thousands of data collection points; the number of power distribution data centers often reaches tens of millions; data volume is often above TB and PB.Velocity: Decision support requires analysis of large amounts of data in a fraction of a second; real-time processing requires continuous real-time data generation.Variety: Data types are structured, semi-structured, and unstructured data, including real-time data, historical data, text data, multimedia data, time-series data and so on.

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“…However, this is limited to authentication and authorization, and the SG is analyzed as an SoS just to identify loosely connected interfaces which supports the use of SOA. An SG simulation of a wireless ecosystem architecture, using OMNeT++, studied DoS attacks [31]. However, specific challenges due to the SoS nature are not highlighted.…”

Section: Related Workmentioning

confidence: 99%

Towards security software engineering the Smart Grid as a System of Systems

Chiprianov

Gallon

Salameh

et al. 2015

2015 10th System of Systems Engineering Conference (SoSE)

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The Smart Grid, the next generation power grid, comes with promises of widely distributed automated energy delivery, self-monitoring, self-healing, energy efficiency, utility and cost optimization. However, as attacks on the current power grid and similar systems indicate, the Smart Grid will be vulnerable to all kinds of attacks and will even raise new security challenges, due to its complex nature. In this paper we analyze this complexity of the Smart Grid as a System of Systems, and the specific security challenges it raises. To address these challenges we propose a vision/framework based on principles of Software Engineering. This framework structures and brings together the research on Smart Grid security.

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Emerging communication technologies and security challenges in a smart grid wireless ecosystem

Cited by 5 publications

References 29 publications

Internet of Things: A Scientometric Review

Internet of Things: A Scientometric Review

Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid

Towards security software engineering the Smart Grid as a System of Systems

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