An Information Security Architecture for Smart Cities

Berkel, A. R. R.; Singh, Parminder; Sinderen, Marten van

doi:10.1007/978-3-319-94214-8_11

Cited by 22 publications

(49 citation statements)

References 35 publications

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“…Following, data feedback and analysis which aim to iterate, refine and document the findings from the data collection session using descriptive analysis. Subsequent, reporting of findings is carried out on how the applicability of the architecture is to be deployed using ArchiMate modelling tool as used in prior smart city studies (Pittl and Bork 2017;Berkel et al 2018) to model practical cases based on the findings from the two case studies to verify the applicability of the architecture in real life energy scenario.…”

Section: Methodsmentioning

confidence: 99%

“…However, this study requires a modeling tool that includes objects and relationships that can be utilized for big data energy services analysis. Specifically, this study opted for ArchiMate enterprise architecture modeling language because it is an object management group standard based on TOGAF and is widely used in industries (Berkel et al 2018). ArchiMate is an independent and open modeling language for enterprise architecture that is supported by diverse tool vendors and consulting partnerships.…”

Section: Background Of Modeling Toolmentioning

confidence: 99%

“…Thus, in order to address these complexities in cities EA frameworks are typically employed (Pourzolfaghar et al 2019). Additionally, EA has been adopted in prior smart cities in the literature (Brand et al 2015;Tanaka et al 2018;Berkel et al 2018;Pourzolfaghar et al 2019) to resolve the concerns of stakeholders in managing the contextual definitions and requirements for smart city services and systems. According to Pourzolfaghar et al (2019) EA adopted in smart city supports in deploying services in smart cities in achieving citizens' concerns and needs.…”

Section: Introductionmentioning

confidence: 99%

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Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

et al. 2019

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The smart grid achieves bidirectional information and energy flow between energy consumer and utility grid, aiding energy users not only to utilize energy, but also to produce, sell, and share energy with other consumers or with the utility grid. This type of energy user is referred to as the "prosumer". Thus, prosumer management structures are important within energy market. However, prior studies on energy sustainability has paid little attention on prosumer involvement and management. Likewise, the continuous growth of cities has increased data processing complexity. Consequently, processing and analysis of historical, online, and real-time streaming data from energy sensors and metering devices has become a major issue in smart cities. Therefore, this research aims to present an architecture based on big data to improve energy prosumption in smart community districts by applying enterprise architecture approach grounded on The Open Group Architecture Framework (TOGAF). Accordingly, qualitative methodology is adopted to collect data by employing case study by focus group interview from two energy companies in Norway to preliminarily validate the architecture. Findings from the case studies was demonstrated in ArchiMate modeling language to evaluate the applicability of the architecture. Moreover, findings from this study provides practical scenario that energy service providers can refer to in designing their own energy data platforms. Essentially, the architecture can be utilized as a guide to help municipalities and policy makers in creating approach for energy data analytics in smart community districts towards making decisions for future energy prosumption planning.

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Section: Methodsmentioning

confidence: 99%

Section: Background Of Modeling Toolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

et al. 2019

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“…When digital risks surface in large quantities by means of complex systems, the hazard they generate is not an increase in damage, but a runaway collapse, or an abrupt transition to a novel and suboptimal state [15]. ISPs are the highest guidelines for the information security of smart cities [16]; a well-developed ISP can ensure the city's sustainable development, enhance residents' quality of life, and produce insights using data.…”

Section: Construction Of Information Security Infrastructure For Smarmentioning

confidence: 99%

Smart City Development in Taiwan: From the Perspective of the Information Security Policy

Sun

2020

Sustainability

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A smart city is developed through the Internet of Things (IoT), cloud computing, big data, mobile Internet, and other new generation technologies regarding information and communication, and data resources in various fields are integrated and applied. The issue of information security in the network era is the strategic focus, as well as the focus of people’s attention, during Taiwan’s smart city construction. Information security policies are the information security guidelines for organizations, and are key to the organization’s information security performance; moreover, such policies show the organization’s support and commitment to the information security of smart cities. This paper discusses the model of information security policy in Taiwan’s smart cities, uses Path Analysis to explore the characteristics of information security policy in smart cities, and examines the relationship between the formulation, implementation, maintenance, and effectiveness of information security policies. Furthermore, this study examines the impact on the effectiveness of organizational information security policies and information security performance from the following aspects: The length of information security policy publication time, policy review, policy advocacy, employee compliance, fair law enforcement, etc., which are all concrete manifestations of the formulation, implementation, and maintenance of information security policy models. Through a questionnaire survey, the correlation between various assumptions, as well as the relationship between organizational information security characteristics, information security policies, and the effectiveness of information security, are verified one by one during the implementation of information security policies. Finally, conclusions and implications are put forward.

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“…In light of the above, advanced ICT, especially the IoT and big data technologies, constitutes a promising response to the challenges of environmental sustainability due to its tremendous, yet untapped, potential for tackling many problems associated with energy consumption and air and noise pollution. However, prior studies tend to deal largely with the IoT and big data technologies in the realm of smart cities (e.g., Ahmed et al 2017;Berkel et al 2018;Ji et al 2014a, b;Kumar and Prakash 2016;Perera et al 2014;Rathore et al 2016Rathore et al , 2018Wan et al 2016;Zanella et al 2014), mostly in relation to economic and social aspects (Ahvenniemi et al 2017), leaving important questions involving the underlying substantive and synergistic effects on environmental sustainability barely explored to date. These issues also apply to sustainable cities, especially eco-cities (e.g., Bibri 2018bBibri , 2019bBibri , 2020aHöjer and Wangel 2015;Kramers et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Environmentally data-driven smart sustainable cities: applied innovative solutions for energy efficiency, pollution reduction, and urban metabolism

2020

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The IoT and big data technologies have become essential to the functioning of both smart cities and sustainable cities, and thus, urban operational functioning and planning are becoming highly responsive to a form of data-driven urbanism. This offers the prospect of building models of smart sustainable cities functioning in real time from routinely sensed data. This in turn allows to monitor, understand, analyze, and plan such cities to improve their energy efficiency and environmental health in real time thanks to new urban intelligence functions as an advanced form of decision support. However, prior studies tend to deal largely with data-driven technologies and solutions in the realm of smart cities, mostly in relation to economic and social aspects, leaving important questions involving the underlying substantive and synergistic effects on environmental sustainability barely explored to date. These issues also apply to sustainable cities, especially eco-cities. Therefore, this paper investigates the potential and role of data-driven smart solutions in improving and advancing environmental sustainability in the context of smart cities as well as sustainable cities, under what can be labeled “environmentally data-driven smart sustainable cities.” To illuminate this emerging urban phenomenon, a descriptive/illustrative case study is adopted as a qualitative research methodology§ to examine and compare Stockholm and Barcelona as the ecologically and technologically leading cities in Europe respectively. The results show that smart grids, smart meters, smart buildings, smart environmental monitoring, and smart urban metabolism are the main data-driven smart solutions applied for improving and advancing environmental sustainability in both eco-cities and smart cities. There is a clear synergy between such solutions in terms of their interaction or cooperation to produce combined effects greater than the sum of their separate effects—with respect to the environment. This involves energy efficiency improvement, environmental pollution reduction, renewable energy adoption, and real-time feedback on energy flows, with high temporal and spatial resolutions. Stockholm takes the lead over Barcelona as regards the best practices for environmental sustainability given its long history of environmental work, strong environmental policy, progressive environmental performance, high environmental standards, and ambitious goals. It also has, like Barcelona, a high level of the implementation of applied data-driven technology solutions in the areas of energy and environment. However, the two cities differ in the nature of such implementation. We conclude that city governments do not have a unified agenda as a form of strategic planning, and data-driven decisions are unique to each city, so are environmental challenges. Big data are the answer, but each city sets its own questions based on what characterize it in terms of visions, policies, strategies, pathways, and priorities.

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An Information Security Architecture for Smart Cities

Cited by 22 publications

References 35 publications

Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

Smart City Development in Taiwan: From the Perspective of the Information Security Policy

Environmentally data-driven smart sustainable cities: applied innovative solutions for energy efficiency, pollution reduction, and urban metabolism

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