Dubai and Barcelona as Smart Cities: Some Reflections on Data Protection Law and Privacy

2021 ◽  
pp. 1-5
Author(s):  
Radwan Eskhita ◽  
Vijaya Kittu Manda ◽  
Arbia Hlali
Keyword(s):  
Data Protection ◽  
Smart City ◽  
Smart Cities ◽  
Descriptive Analysis ◽  
Personal Data ◽  
Huge Amount ◽  
Shared Data ◽  
Data Protection Law

This study introduces a descriptive analysis to carry out the transformation of the Dubai smart city as a case study in the GCC region with reference to the Barcelona smart city. Furthermore, to investigate how the Dubai smart city will deal with the huge amount of the collected personal data through Internet of Things devices and applications. The theoretical analysis shows that the Barcelona smart city can be represented as an effective model, its innovations recommends to be used in Dubai smart city. The analysis founds that the classification of the collected data inside smart city to open and shared data did not provide sufficient privacy for personal data. Therefore, the personal data should be classified explicitly in order to be processed separately under the rules of the data protection law.

scholarly journals Smart Cities, Big Data, Artificial Intelligence and Respect for the European Union Data Protection Rules

2020 ◽  
Vol 3 (2) ◽  
pp. 101
Author(s):  
Francisco Javier Durán Ruiz
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Big Data ◽  
Data Protection ◽  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Personal Data ◽  
Point Of View ◽  
The European Union

The importance of cities and their populations grow more and more, as well as the need to apply ICT in their management to reduce their environmental impact and improve the services they offer to their citizens. Hence the concept of smart city arises, a transformation of urban spaces that the European Union is strongly promoting which is largely based on the use of data and its treatment using Big data and Artificial Intelligence techniques based in algorithms. For the development of smart cities it is basic, from a legal point of view, EU rules about open data and the reuse of data and the reconciliation of the massive processing of citizens' data with the right to privacy, non-discrimination and protection of personal data. The use of Big data and AI needed for the development of smart city projects requires a particular respect to data protection regulations. In this sense, the research explores in depth the specific hazards of vulnerating this fundamental right in the framework of smart cities due to the use of Big Data and AI.

scholarly journals Smart City Technologies implemented in public transport in a post-COVID-19 pandemic scenario

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Victor Garcia Figueirôa Ferreira ◽  
Tatiane Borchers ◽  
Ricardo Augusto Souza Fernandes
Keyword(s):  
Data Protection ◽  
Public Transport ◽  
Public Transportation ◽  
Smart City ◽  
Smart Cities ◽  
Personal Data ◽  
Final Analysis ◽  
Perception Of Safety ◽  
Great Sense ◽  
One Year

With the global pandemic of COVID-19 completing one year, this paper intends to analyse the perceptions of public transport users about the implementation of smart city technologies. Two aspects were analysed, namely: the perception of safety regarding the use of surveillance technologies in the containment of the virus; and the perception of safety of the same technologies regarding data protection and privacy. After the identification and choice of initiatives in smart cities to be addressed, a questionnaire was prepared and made available online, in which 414 replies were considered for the final analysis, respecting the proportionality of the percentage of replies in each region to the respective population percentage. In general, technologies provide a great sense of security regarding the use of public transportation. However, they cause concern regarding data protection and privacy. From this result and with analyses in relation to the regulation of personal data, international experiences and the Brazilian reality were contrasted.

scholarly journals CYBERSECURITY OF "SMART CITIES": SOCIAL ASPECTS, RISKS OF DEANONYMIZATION AND DOXING

2020 ◽  
Vol 6 (159) ◽  
pp. 181-190
Author(s):  
V. Boyko ◽  
M. Vasilenko
Keyword(s):  
Information System ◽  
Data Protection ◽  
Smart City ◽  
Communication Systems ◽  
Smart Cities ◽  
Personal Data ◽  
Social Engineering ◽  
Social Aspect ◽  
Daily Routine ◽  
The City

The paper analyzes possible risks and threats posed by the transition from modern cities to smart cities. The concept and scheme of doxing implementation are analyzed. Moreover, the essence of deanonymization is revealed and threats to the privacy and security of smart city residents associated with these processes are identified. Furthermore, the reasons for the growth of doxing practice are clarified. The social aspect of the cybersecurity of a smart city is seen primarily in the increased risks of privacy disclosure, which can lead to deanonymization, which can later be used for doxing, cyberbullying, blackmail or social engineering schemes. This demands that personal data must not only be protected by reliable cryptographic and technical measures but also - where it allows by work tasks - be specifically or partially impersonalised. Also, when planning personal data protection in smart city informational ecosystems, it should be considered that such protection will be existing in the context of an overall eco-information system of the city. Therefore, the one's always set priorities balanced between data protection, identify threats, measures and mechanisms for their implementation and daily routine tasks of system administration. The article analyzes cases and schemes of deanonymization, shows the vulnerability of modern information and communication systems to obtain data that can be used by an attacker. Based on the analysis and taking into account the specifics of the functioning of information ecosystems of smart cities, the main recommendations for protecting data stored in information systems are developed and systematized, which will reduce the risks of hacking such data and minimize harm from deanonymization and doxing. Finally, the authors proved that deanonymization is a sequential hacking process, and doxing is a hacking process and publishing private information. Such information can be obtained by collecting and analyzing open ("white"), stolen ("black") and stolen by third parties, but conditionally freely available ("Gray") sources of information. With the development of the smart city infrastructure, the amount of information collected, stored and processed will grow. This will lead to an increase in the "digital footprint" of every user of information system, that is, almost everyone who lives in the city.

scholarly journals Tokenized Ecosystem of Personal Data — Exemplified on the Context of the Smart City

2017 ◽  
Vol 9 (2) ◽  
pp. 110-133 ◽  
Author(s):  
Jan Thomas Frecè ◽  
Thomas Selzam
Keyword(s):  
Data Protection ◽  
Smart City ◽  
Smart Cities ◽  
Personal Data ◽  
Privacy Preserving ◽  
Data Sources ◽  
Data Driven ◽  
Access To Data

Data driven businesses, services, and even smart cities of tomorrow depend on access to data not only from machines, but also personal data of consumers, clients, citizens. Sustain-able utilization of such data must base on legal compliancy, ethical soundness, and consent. Data subjects nowadays largely lack empowerment over utilization and monetization of their personal data. To change this, we propose a tokenized ecosystem of personal data (TokPD), combining anonymization, referencing, encryption, decentralization, and functional layering to establish a privacy preserving solution for processing of personal data. This tokenized ecosys-tem is a more generalized variant of the smart city ecosystem described in the preceding publi-cation "Smart Cities of Self-Determined Data Subjects" (Frecè & Selzam 2017) with focus to-wards further options of decentralization. We use the example of a smart city to demonstrate, how TokPD ensures the data subjects’ privacy, grants the smart city access to a high number of new data sources, and simultaneously handles the user-consent to ensure compliance with mod-ern data protection regulation.

SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen
Keyword(s):  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Evaluation Methods ◽  
Data Analyses ◽  
Sense Of Security ◽  
System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

Importance of Personal Data Protection Law for Commercial Air Transport

2017 ◽  
Vol 2017 (1) ◽  
pp. 35-44
Author(s):  
Dawid Zadura
Keyword(s):  
Data Protection ◽  
Public Information ◽  
Personal Data ◽  
Air Transport ◽  
Civil Aviation ◽  
Aviation Industry ◽  
Personal Data Protection ◽  
It Systems ◽  
Data Protection Law ◽  
The Law

Abstract In the review below the author presents a general overview of the selected contemporary legal issues related to the present growth of the aviation industry and the development of aviation technologies. The review is focused on the questions at the intersection of aviation law and personal data protection law. Massive processing of passenger data (Passenger Name Record, PNR) in IT systems is a daily activity for the contemporary aviation industry. Simultaneously, since the mid- 1990s we can observe the rapid growth of personal data protection law as a very new branch of the law. The importance of this new branch of the law for the aviation industry is however still questionable and unclear. This article includes the summary of the author’s own research conducted between 2011 and 2017, in particular his audits in LOT Polish Airlines (June 2011-April 2013) and Lublin Airport (July - September 2013) and the author’s analyses of public information shared by International Civil Aviation Organization (ICAO), International Air Transport Association (IATA), Association of European Airlines (AEA), Civil Aviation Authority (ULC) and (GIODO). The purpose of the author’s research was to determine the applicability of the implementation of technical and organizational measures established by personal data protection law in aviation industry entities.

The Risk-Based Approach to Data Protection

2020 ◽  
Author(s):  
Raphaël Gellert
Keyword(s):  
Risk Management ◽  
Data Protection ◽  
Personal Data ◽  
Management Tools ◽  
General Data Protection Regulation ◽  
Regulation Theory ◽  
Régulation Theory ◽  
General Data ◽  
Data Protection Law ◽  
The Way

The main goal of this book is to provide an understanding of what is commonly referred to as “the risk-based approach to data protection”. An expression that came to the fore during the overhaul process of the EU’s General Data Protection Regulation (GDPR)—even though it can also be found in other statutes under different acceptations. At its core it consists in endowing the regulated organisation that process personal data with increased responsibility for complying with data protection mandates. Such increased compliance duties are performed through risk management tools. It addresses this topic from various perspectives. In framing the risk-based approach as the latest model of a series of regulation models, the book provides an analysis of data protection law from the perspective of regulation theory as well as risk and risk management literatures, and their mutual interlinkages. Further, it provides an overview of the policy developments that led to the adoption of such an approach, which it discusses in the light of regulation theory. It also includes various discussions pertaining to the risk-based approach’s scope and meaning, to the way it has been uptaken in statutes including key provisions such as accountability and data protection impact assessments, or to its potential and limitations. Finally, it analyses how the risk-based approach can be implemented in practice by providing technical analyses of various data protection risk management methodologies.

scholarly journals Challenges and Barriers for Net‐Zero/Positive Energy Buildings and Districts—Empirical Evidence from the Smart City Project SPARCS

Buildings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 78
Author(s):  
Daria Uspenskaia ◽  
Karl Specht ◽  
Hendrik Kondziella ◽  
Thomas Bruckner
Keyword(s):  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
Scale Up ◽  
Practical Experience ◽  
Positive Energy ◽  
Low Carbon ◽  
Net Zero ◽  
Multidimensional Representation

Without decarbonizing cities energy and climate objectives cannot be achieved as cities account for approximately two thirds of energy consumption and emissions. This goal of decarbonizing cities has to be facilitated by promoting net-zero/positive energy buildings and districts and replicating them, driving cities towards sustainability goals. Many projects in smart cities demonstrate novel and groundbreaking low-carbon solutions in demonstration and lighthouse projects. However, as the historical, geographic, political, social and economic context of urban areas vary greatly, it is not always easy to repeat the solution in another city or even district. It is therefore important to look for the opportunities to scale up or repeat successful pilots. The purpose of this paper is to explore common trends in technologies and replication strategies for positive energy buildings or districts in smart city projects, based on the practical experience from a case study in Leipzig—one of the lighthouse cities in the project SPARCS. One of the key findings the paper has proven is the necessity of a profound replication modelling to deepen the understanding of upscaling processes. Three models analyzed in this article are able to provide a multidimensional representation of the solution to be replicated.

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