scholarly journals PROTECTION OF PRIVACY AND PERSONAL DATA IN THE BIG DATA ENVIRONMENT OF SMART CITIES

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 181-186
Author(s):  
A. Denker
Keyword(s):  
Big Data ◽  
Smart City ◽  
Personal Information ◽  
Smart Cities ◽  
Personal Data ◽  
Privacy And Security ◽  
Personal Data Protection ◽  
Security Issues ◽  
Data Environment ◽  
Bifocal Lenses

Abstract. The project of smart cities has emerged as a response to the challenges of twenty-first- century urbanization. Solutions to the fundamental conundrum of cities revolving around efficiency, convenience and security keep being sought by leveraging technology. Notwithstanding all the conveniences furnished by a smart city to all the citizens, privacy of a citizen is intertwined with the benefits of a smart city. The development processes which overlook privacy and security issues have left many of the smart city applications vulnerable to non-conventional security threats and susceptible to numerous privacy and personal data spillage risks. Among the challenges the smart city initiatives encounter, the emergence of the smartphone-big data-the cloud coalescence is perhaps the greatest, from the viewpoint of privacy and personal data protection. As our cities are getting digitalized, information comprising citizens' behavior, choices, and mobility, as well as their personal assets are shared over smartphone-big data-the cloud coalescences, thereby expanding cyber-threat surface and creating different security concerns. This coalescence refers to the practices of creating and analyzing vast sets of data, which comprise personal information. In this paper, the protection of privacy and personal data issues in the big data environment of smart cities are viewed through bifocal lenses, focusing on social and technical aspects. The protection of personal data and privacy in smart city enterprises is treated as a socio-technological operation where various actors and factors undertake different tasks. The article concludes by calling for novel developments, conceptual and practical changes both in technological and social realms.

scholarly journals Adataink biztonságban - adatainkban a biztonság?

2017 ◽  
Vol 17 (1) ◽  
pp. 45
Author(s):  
Endre Győző Szabó ◽  
Balázs Révész
Keyword(s):  
European Union ◽  
Data Security ◽  
Personal Information ◽  
Personal Data ◽  
The Other ◽  
Legal Regulations ◽  
The European Union ◽  
Privacy And Security ◽  
Personal Data Protection ◽  
Common Field

A magánélet és a biztonság népszerű ellentétpárként tűnhet fel az adatvédelmi gondolkodásban. Leegyszerűsítve olvashatjuk sokszor, hogy ha bizonyos feltételek hiányoznak, aránytalanul nagy áldozatot hozhatunk a személyes magánszféra, a privacy oldalán a biztonság érdekében, és magánszféránk túlzott feláldozása a biztonság oltárán visszafordíthatatlan folyamathoz és orwelli világhoz vezet. Más, a biztonság szempontjait mindenek felettinek hirdető érvelésben viszont a személyes adatok védelmére való hivatkozást alkotmányjogi bűvészkedésnek csúfolják és igyekeznek kisebbíteni a magánszféra-védelem egyébként méltányolandó értékeit. A magánélet és a személyes adatok védelmének pedig nagy a tétje, az adatok illetéktelenek részére való kiszolgáltatása, rosszhiszemű felhasználása egzisztenciákat, családokat tehet tönkre, boldogulási lehetőségeket hiúsíthat meg, ha a védelem alacsony szintre süllyed. Másrészről pedig az információszerzés, illetve előzetes adatgyűjtés a különböző bűnelkövetések, terrorcselekmények előkészületi cselekményei is egyben. Azzal, ha a személyes adataink, magánszféránk védelmében ésszerű lépéseket teszünk, élünk a jog és a technológia adta védelmi lehetőségekkel, adatainkat nemcsak az államtól és a piaci szereplőktől, de a bűnözőktől is elzárjuk, és ezzel mindannyiunk biztonságát szolgáljuk. Egy terület tehát biztosan létezik, ahol a biztonság és magánszféra mezsgyéje összeér: az adatbiztonságé és ezzel összefüggésben a tudatos, felelős felhasználói attitűdé, aminek azonban sokszor az emberi tényező a gátja. Jelen tanulmányban a magánszféra és biztonság kérdéskörének komplexitásáról szólunk, és közös nevezőt keresünk az adatkezelések nézőpontjából, kitérve az új adatvédelmi rendelet (GDPR) magánszféránkat és biztonságunkat egyaránt szolgáló leendő jogintézményeinek bemutatására is. --- Data in security – security in our data? Privacy and security may be deemed as a popular dichotomy. It is often argued that even if security is vital, we might sacrifice too much of our privacy in return. This may be irreversible when it comes to the intrusiveness of surveillance. On the other hand, it is also sometimes argued that the importance of personal data protection deserves less attention than security. There is much at stake when it comes to privacy and the protection of personal data. Misuse of personal information may damage families’ lives and ruin people’s livelihoods, thus this may all have significant repercussions for society as a whole – this is the price to be paid if protection is at a low level. Using sophisticated measures that technology and legal regulations can provide, privacy can be protected. Data security is a common field for the protection of privacy and security – crucial for both endeavours to make people’s lives better. This essay describes the complexity of issues related to privacy and security, while also taking new legislation of the European Union into account.

A Review of Security Challenges in Cloud Storage of Big Data

2019 ◽  
pp. 1440-1459
Author(s):  
Sara Usmani ◽  
Faiza Rehman ◽  
Sajid Umair ◽  
Safdar Abbas Khan
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Cloud Storage ◽  
Personal Data ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
The People

The novel advances in the field of Information Technology presented the people pleasure, luxuries and ease. One of the latest expansions in the Information Technology (IT) industry is Cloud Computing, a technology that uses the internet for storage and access of data. It is also known as on-demand computing. The end user can access personal data and applications anywhere any time with a device having internet. Cloud Computing has gained an enormous attention but it results in the issues of data security and privacy as the data is scattered on different machines in different places across the globe which is a serious threat to the technology. It has many advantages like flexibility, efficiency and scalability but many of the companies are hesitant to invest in it due to privacy concerns. In this chapter, the objective is to review the privacy and security issues in cloud storage of Big Data and to enhance the security in cloud environment so that end users can enjoy a trustworthy and reliable data storage and access.

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 Key Factors in Big Data Implementation for Smart City: A Systematic Literature Review

2021 ◽  
Vol 006 (01) ◽  
pp. 16-22
Author(s):  
Yulida Safitri
Keyword(s):  
Big Data ◽  
Smart City ◽  
Smart Cities ◽  
Research Paper ◽  
City Government ◽  
Data Availability ◽  
Management Support ◽  
Key Factors ◽  
Privacy And Security ◽  
Technological Infrastructure

Many governments implement smart city concept in their daily operation. As the concept continues to develop, smart cities all over the world are now starting to utilize big data. Learning from their private counterparts that already ahead in harnessing the potential benefits of big data implementation, smart cities begin the transformation of implementing big data. The purpose of this research paper is to: 1) Review the possible opportunities offered by big data implementation in smart city, 2) Review the challenges that smart city need to solve in utilizing big data, 3) Develop a framework that addresses the key factors in successful big data implementation in smart city. This research paper produces a framework that addresses several key factors that smart city government should consider ensuring success when implementing big data based on the proposed model indicators in private sectors. This framework consists of key factors of big data implementation for smart city which are top management support, organizational change, privacy and security, data availability and quality, cost, skillset and knowledge, big data policy, and technological infrastructure. It is important to have an understanding that these key factors correlate each other and are equally important.

scholarly journals Federated Learning in Smart City Sensing: Challenges and Opportunities

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6230 ◽  
Author(s):  
Ji Chu Jiang ◽  
Burak Kantarci ◽  
Sema Oktug ◽  
Tolga Soyata
Keyword(s):  
Data Acquisition ◽  
Smart City ◽  
Large Scale ◽  
Smart Cities ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
Challenges And Opportunities ◽  
Data Provision ◽  
Novel Concept

Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city services. The advent of the Internet of Things (IoT) and the widespread use of mobile devices with computing and sensing capabilities has motivated applications that require data acquisition at a societal scale. These valuable data can be leveraged to train advanced Artificial Intelligence (AI) models that serve various smart services that benefit society in all aspects. Despite their effectiveness, legacy data acquisition models backed with centralized Machine Learning models entail security and privacy concerns, and lead to less participation in large-scale sensing and data provision for smart city services. To overcome these challenges, Federated Learning is a novel concept that can serve as a solution to the privacy and security issues encountered within the process of data collection. This survey article presents an overview of smart city sensing and its current challenges followed by the potential of Federated Learning in addressing those challenges. A comprehensive discussion of the state-of-the-art methods for Federated Learning is provided along with an in-depth discussion on the applicability of Federated Learning in smart city sensing; clear insights on open issues, challenges, and opportunities in this field are provided as guidance for the researchers studying this subject matter.

A Review of Security Challenges in Cloud Storage of Big Data

2018 ◽  
pp. 175-195
Author(s):  
Sara Usmani ◽  
Faiza Rehman ◽  
Sajid Umair ◽  
Safdar Abbas Khan
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Cloud Storage ◽  
Personal Data ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
The People

The novel advances in the field of Information Technology presented the people pleasure, luxuries and ease. One of the latest expansions in the Information Technology (IT) industry is Cloud Computing, a technology that uses the internet for storage and access of data. It is also known as on-demand computing. The end user can access personal data and applications anywhere any time with a device having internet. Cloud Computing has gained an enormous attention but it results in the issues of data security and privacy as the data is scattered on different machines in different places across the globe which is a serious threat to the technology. It has many advantages like flexibility, efficiency and scalability but many of the companies are hesitant to invest in it due to privacy concerns. In this chapter, the objective is to review the privacy and security issues in cloud storage of Big Data and to enhance the security in cloud environment so that end users can enjoy a trustworthy and reliable data storage and access.

Big Data, Anonymisation and Governance to Personal Data Protection

2020 ◽  
Author(s):  
Artur Potiguara Carvalho ◽  
Fernanda Potiguara Carvalho ◽  
Edna Dias Canedo ◽  
Pedro Henrique Potiguara Carvalho
Keyword(s):  
Big Data ◽  
Data Protection ◽  
Personal Data ◽  
Personal Data Protection

scholarly journals Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices

2020 ◽  
Vol 12 (14) ◽  
pp. 5595 ◽  
Author(s):  
Ana Lavalle ◽  
Miguel A. Teruel ◽  
Alejandro Maté ◽  
Juan Trujillo
Keyword(s):  
Big Data ◽  
Smart City ◽  
Smart Cities ◽  
Fire Department ◽  
Heterogeneous Data ◽  
Fire Extinguishing ◽  
Heterogeneous Data Sources ◽  
Iot Devices ◽  
Visualization Techniques ◽  
The Impact

Fostering sustainability is paramount for Smart Cities development. Lately, Smart Cities are benefiting from the rising of Big Data coming from IoT devices, leading to improvements on monitoring and prevention. However, monitoring and prevention processes require visualization techniques as a key component. Indeed, in order to prevent possible hazards (such as fires, leaks, etc.) and optimize their resources, Smart Cities require adequate visualizations that provide insights to decision makers. Nevertheless, visualization of Big Data has always been a challenging issue, especially when such data are originated in real-time. This problem becomes even bigger in Smart City environments since we have to deal with many different groups of users and multiple heterogeneous data sources. Without a proper visualization methodology, complex dashboards including data from different nature are difficult to understand. In order to tackle this issue, we propose a methodology based on visualization techniques for Big Data, aimed at improving the evidence-gathering process by assisting users in the decision making in the context of Smart Cities. Moreover, in order to assess the impact of our proposal, a case study based on service calls for a fire department is presented. In this sense, our findings will be applied to data coming from citizen calls. Thus, the results of this work will contribute to the optimization of resources, namely fire extinguishing battalions, helping to improve their effectiveness and, as a result, the sustainability of a Smart City, operating better with less resources. Finally, in order to evaluate the impact of our proposal, we have performed an experiment, with non-expert users in data visualization.

Sign in / Sign up

Export Citation Format

Share Document