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.

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.

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 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 Digital Economy, Big Data and Competition Law

2019 ◽  
Vol 3 (1) ◽  
pp. 53-89
Author(s):  
Roberto Augusto Castellanos Pfeiffer
Keyword(s):  
Big Data ◽  
Data Protection ◽  
Personal Data ◽  
Competition Law ◽  
Digital Economy ◽  
Data Driven ◽  
Dominant Position ◽  
Privacy Concerns ◽  
Sense Data ◽  
Abuse Of Dominant Position

Big data has a very important role in the digital economy, because firms have accurate tools to collect, store, analyse, treat, monetise and disseminate voluminous amounts of data. Companies have been improving their revenues with information about the behaviour, preferences, needs, expectations, desires and evaluations of their consumers. In this sense, data could be considered as a productive input. The article focuses on the current discussion regarding the possible use of competition law and policy to address privacy concerns related to big data companies. The most traditional and powerful tool to deal with privacy concerns is personal data protection law. Notwithstanding, the article examines whether competition law should play an important role in data-driven markets where privacy is a key factor. The article suggests a new approach to the following antitrust concepts in cases related to big data platforms: assessment of market power, merger notification thresholds, measurement of merger effects on consumer privacy, and investigation of abuse of dominant position. In this context, the article analyses decisions of competition agencies which reviewed mergers in big data-driven markets, such as Google/DoubleClick, Facebook/ WhatsApp and Microsoft/LinkedIn. It also reviews investigations of alleged abuse of dominant position associated with big data, in particular the proceeding opened by the Bundeskartellamt against Facebook, in which the German antitrust authority prohibited the data processing policy imposed by Facebook on its users. The article concludes that it is important to harmonise the enforcement of competition, consumer and data protection polices in order to choose the proper way to protect the users of dominant platforms, maximising the benefits of the data-driven economy.

Cyber Security Challenges for Smart Cities

2022 ◽  
pp. 1459-1480
Author(s):  
Anand Nayyar ◽  
Rachna Jain ◽  
Bandana Mahapatra ◽  
Anubhav Singh
Keyword(s):  
Cyber Security ◽  
Smart City ◽  
Smart Grids ◽  
Data Transfer ◽  
Smart Cities ◽  
Privacy Preserving ◽  
Automation System ◽  
Security Models ◽  
The People ◽  
Aerial Vehicle

Smart cities are composed of interlinked components with constant data transfer and services targeted at increasing the life style of the people. The chapter focuses on diverged smart city components as well as the security models designed to be implemented. The four major paradigms discussed in this chapter are smart grids, building automation system (BAS), unmanned aerial vehicle (UAV), and smart vehicles. Apart from addressing the security concerns of every component, the major highlights of this chapter are architecture, smart environment, industry, lifestyle, services, and digital lifestyle quality. Finally, the chapter focuses on privacy preserving mechanisms, its essence over smart cities, strong architecture related to privacy, preserving mechanism, and various approaches available that can retaliate these issues in a smart city environment.

scholarly journals Data-Driven Approach for Incident Management in a Smart City

2020 ◽  
Vol 10 (22) ◽  
pp. 8281
Author(s):  
Luís B. Elvas ◽  
Carolina F. Marreiros ◽  
João M. Dinis ◽  
Maria C. Pereira ◽  
Ana L. Martins ◽  
...  
Keyword(s):  
Data Mining ◽  
Smart City ◽  
City Planning ◽  
Smart Cities ◽  
Data Driven ◽  
Incident Management ◽  
Cascading Effects ◽  
Data Mining Approach ◽  
Industry Standard ◽  
Data Driven Approach

Buildings in Lisbon are often the victim of several types of events (such as accidents, fires, collapses, etc.). This study aims to apply a data-driven approach towards knowledge extraction from past incident data, nowadays available in the context of a Smart City. We apply a Cross Industry Standard Process for Data Mining (CRISP-DM) approach to perform incident management of the city of Lisbon. From this data-driven process, a descriptive and predictive analysis of an events dataset provided by the Lisbon Municipality was possible, together with other data obtained from the public domain, such as the temperature and humidity on the day of the events. The dataset provided contains events from 2011 to 2018 for the municipality of Lisbon. This data mining approach over past data identified patterns that provide useful knowledge for city incident managers. Additionally, the forecasts can be used for better city planning, and data correlations of variables can provide information about the most important variables towards those incidents. This approach is fundamental in the context of smart cities, where sensors and data can be used to improve citizens’ quality of life. Smart Cities allow the collecting of data from different systems, and for the case of disruptive events, these data allow us to understand them and their cascading effects better.

scholarly journals GDPR: Is your consent valid?

2020 ◽  
Vol 37 (1) ◽  
pp. 19-24
Author(s):  
Stephen Breen ◽  
Karim Ouazzane ◽  
Preeti Patel
Keyword(s):  
Information Systems ◽  
Data Protection ◽  
Personal Data ◽  
Data Driven ◽  
Privacy Concerns ◽  
General Data Protection Regulation ◽  
Philosophical Background ◽  
General Data ◽  
Compliance With The Law ◽  
Point Of Departure

The General Data Protection Regulation (GDPR) 2018 imposes much greater demands on companies to address the rights of individuals who provide data, that is, Data Subjects. The new law requires a much more transparent approach to gaining consent to process personal data. However, few obvious changes to how consent is gained from Data Subjects to comply with this. Many companies are running the risk of non-compliance with the law if they fail to address how data are obtained and the lack of true consent which Data Subjects currently give to their data being processed. Consent is a complex philosophical principle which relies on the person giving the consent being in full possession of the facts, this article explores the philosophical background of consent and examines the circumstances which were the point of departure for the debate on consent and attempts to develop an understanding of it in the context of the growing influence of information systems and the data-driven economy. The GDPR has gone further than any other regulation or law to date in developing an understanding of consent to address personal data and privacy concerns.

New rules for the collection and protection of personal data by police services

2019 ◽  
Vol 2 (XIX) ◽  
pp. 179-192
Author(s):  
Tomasz Miłkowski
Keyword(s):  
Data Protection ◽  
Personal Data ◽  
Police Services ◽  
Access To Data ◽  
Erroneous Data

The article refers to the basic issues related to the entry into force the act of 14th of December 2018 on the protection of personal data processed regarding to the prevention and combating of crime. Due this act chiefs of the police services (administrators) are forced into increase the level of data protection collected by their forces. Also the act is obligated them to increase the scope and possibilities of access to data by persons which are subjects of it. What’s more, they have the option of initiating the procedure to correct or delete erroneous data. This possibility is a result not only the EU’s Directive 2016/680 but primarily it is fulfillment of the obligation arising from art. 51 of the Polish Constitution.

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