Smart Cities, Playable Cities, and Cybersecurity: A Systematic Review

Hajduk, Nancy Ann; Weible, Jennifer; Helser, Susan; Verhulsdonck, Gustav

doi:10.1080/10447318.2021.2012381

Cited by 32 publications

(16 citation statements)

References 43 publications

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“…Thus, resulting we have come up with implementing cybersecurity measures such as access controls and encryption in order to build protective layers of security, plus taking care to use secure storage protocols. Additionally, it is necessary to ensure practices of strict confidentiality while exchanging data among various entities working on pandemic control systems through agreed upon shared data regulation executed through written agreements [116].…”

Section: Data Security and Confidentialitymentioning

confidence: 99%

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

Alrashdi,

Alqazzaz

2024

Sustain. Mach. Intell. J.

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The advent of smart cities has paved the way for transformative advancements in healthcare, particularly in the domain of disease diagnosis. In the wake of the COVID-19 pandemic, accurate and timely identification of Pandemic diseases has become paramount. This paper explores the challenges and opportunities in synergizing Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain technologies for diagnosis of Pandemic diseases in smart cities. This study provides an overview of each technology and its relevance to sustainable healthcare in smart cities, emphasizing its potential for analyzing medical data and making informed decisions. We also explore how IoT devices can contribute to disease surveillance, enabling real-time data collection and remote healthcare. Additionally, we discuss the potential of Blockchain in ensuring secure and transparent healthcare systems. Following, the paper study the synergistic potential of integrating AI, IoT, and blockchain, emphasizing how their combined strengths can enhance the accuracy, efficiency, and security of COVID-19 diagnosis systems in smart cities Moreover, the paper highlights the challenges in integrating these technologies and the opportunities for research and implementation, underlining the significance of synergizing AI, IoT, and Blockchain in disease diagnosis in smart cities. The findings demonstrate that the convergence of AI, IoT, and blockchain can enhance the speed and accuracy of diagnosing Pandemic diseases, leading to more effective containment and management strategies.

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Section: Data Security and Confidentialitymentioning

confidence: 99%

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

Alrashdi,

Alqazzaz

2024

Sustain. Mach. Intell. J.

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“…(Harrison et al, 2010) -Factors: Digital infrastructure management • A community of average technology size, interconnected and sustainable, comfortable, attractive and secure (Lazaroiu and Roscia, 2012). Factors: digital management of security matters • A smart city infuses information into its physical infrastructure to improve conveniences, facilitate mobility, add efficiencies, conserve energy, improve the quality of air and water, identify problems and fix them quickly, recover rapidly from disasters, collect data to make better decisions, deploy resources effectively, and share data to enable collaboration across entities and domains (Nam and Pardo, 2011) Verhulsdonck (2021) formulate the following definition: […] smart cities are often described as "urban operating systems," e.g., as "data cities," "intelligent cities," "wired cities," "digital cities," "information cities," and "city data landscapes". Such terms give the impression that IT integration at a city level is necessary to innovate various social and human dimensions in a smart city.…”

Section: Smart Data -Smart Cities: Definitionsmentioning

confidence: 99%

Smart Cities: From Theory to Reality - The Athens Case

Pantazis,

Moussas,

Daverona

et al. 2024

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The term "smart city" has been used in many circumstances, mainly to determine the added value of the "smartness" of a city. The cities must be viable for their citizens, "green", with "empty" spaces, without traffic problems, good infrastructures etc. In addition, a city must be "smart", means providing smart data, smart infrastructures and "smart" applications to their citizens. Many academic papers and real projects have exhaustively analysed and concretised the above issues. Nevertheless, from a practical point of view, there is not a short list of factors extracted from a combination of a) theoretical definitions, b) indexing systems measuring a city’s "smartness" c) the citizens experiential needs and desires for smart applications and d) factors coming from the applications/data provided by local, national and international institutions/governments and private companies. A such integrated list may give a valuable practical level of the "smartness" degree of a city. This article is based on the extraction of the above factors which determine the level of "smartness" of a city. All those factors were applied in the city of Athens in order to determine the level of city’s "smartness".

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“…Verhulsdonck et al [72] 2023 A Systematic Review This study aims to assist smart city planners in developing and evaluating cybersecurity measures that incorporate both personal privacy and engaging features. To achieve this objective, the research proposes using a cybersecurity lens, such as the McCumber cube model, which can provide a comprehensive framework for analyzing various aspects of cybersecurity.…”

Section: Zeng Et Al 2023 the Q-rung Orthopair Fuzzy Setmentioning

confidence: 99%

Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems

Nikpour,

Yousefi,

Jafarzadeh

et al. 2023

Preprint

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Smart buildings are increasingly using Internet of Things (IoT)-based wireless sensing systems to reduce their energy consumption and environmental impact. As a result of their compact size and ability to sense, measure, and compute all electrical properties, Internet of Things devices have become increasingly important in our society. A major contribution of this study is the development of a comprehensive IoT-based framework for smart city energy management, incorporating multiple components of IoT architecture and framework. An IoT framework for intelligent energy management applications that employ intelligent analysis is an essential system component that collects and stores information. Additionally, it serves as a platform for the development of applications by other companies. Furthermore, we have studied intelligent energy management solutions based on intelligent mechanisms. The depletion of energy resources and the increase in energy demand have led to an increase in energy consumption and building maintenance. The data collected is used to monitor, control, and enhance the efficiency of the system.

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Smart Cities, Playable Cities, and Cybersecurity: A Systematic Review

Cited by 32 publications

References 43 publications

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

Smart Cities: From Theory to Reality - The Athens Case

Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems

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