Consumer Privacy Regulations

2020 ◽  
pp. 222-238
Author(s):  
Martha Davis
Keyword(s):  
Big Data ◽  
Consumer Protection ◽  
Data Privacy ◽  
Personal Information ◽  
Smart Cities ◽  
Consumer Trust ◽  
Consumer Privacy ◽  
Societal Benefits ◽  
Globalized Economy ◽  
Information Consumers

Big data and analytics have not only changed how businesses interact with consumers, but also how consumers interact with the larger world. Smart cities, IoT, cloud, and edge computing technologies are all enabled by data and can provide significant societal benefits via efficiencies and reduction of waste. However, data breaches have also caused serious harm to customers by exposing personal information. Consumers often are unable to make informed decisions about their digital privacy because they are in a position of asymmetric information. There are an increasing number of privacy regulations to give consumers more control over their data. This chapter provides an overview of data privacy regulations, including GDPR. In today's globalized economy, the patchwork of international privacy regulations is difficult to navigate, and, in many instances, fails to provide adequate business certainty or consumer protection. This chapter also discusses current research and implications for costs, data-driven innovation, and consumer trust.

Consumer Privacy Regulations

2021 ◽  
pp. 1844-1860
Author(s):  
Martha Davis
Keyword(s):  
Big Data ◽  
Consumer Protection ◽  
Data Privacy ◽  
Personal Information ◽  
Smart Cities ◽  
Consumer Trust ◽  
Consumer Privacy ◽  
Societal Benefits ◽  
Globalized Economy ◽  
Information Consumers

Big data and analytics have not only changed how businesses interact with consumers, but also how consumers interact with the larger world. Smart cities, IoT, cloud, and edge computing technologies are all enabled by data and can provide significant societal benefits via efficiencies and reduction of waste. However, data breaches have also caused serious harm to customers by exposing personal information. Consumers often are unable to make informed decisions about their digital privacy because they are in a position of asymmetric information. There are an increasing number of privacy regulations to give consumers more control over their data. This chapter provides an overview of data privacy regulations, including GDPR. In today's globalized economy, the patchwork of international privacy regulations is difficult to navigate, and, in many instances, fails to provide adequate business certainty or consumer protection. This chapter also discusses current research and implications for costs, data-driven innovation, and consumer trust.

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.

A Secure Protocol for High-Dimensional Big Data Providing Data Privacy

2021 ◽  
pp. 327-343
Author(s):  
Anitha J. ◽  
Prasad S. P.
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Data Privacy ◽  
Personal Information ◽  
Technological Development ◽  
High Dimensional ◽  
Sensitive Information ◽  
Data Anonymization ◽  
Secure Protocol ◽  
Data Owner

Due to recent technological development, a huge amount of data generated by social networking, sensor networks, internet, etc., adds more challenges when performing data storage and processing tasks. During PPDP, the collected data may contain sensitive information about the data owner. Directly releasing this for further processing may violate the privacy of the data owner, hence data modification is needed so that it does not disclose any personal information. The existing techniques of data anonymization have a fixed scheme with a small number of dimensions. There are various types of attacks on the privacy of data like linkage attack, homogeneity attack, and background knowledge attack. To provide an effective technique in big data to maintain data privacy and prevent linkage attacks, this paper proposes a privacy preserving protocol, UNION, for a multi-party data provider. Experiments show that this technique provides a better data utility to handle high dimensional data, and scalability with respect to the data size compared with existing anonymization techniques.

scholarly journals From Patients to Petabytes: Genomic Big Data, Privacy, and Informational Risk

2014 ◽  
Vol 39 (4) ◽  
Author(s):  
Julie Frizzo-Barker ◽  
Peter Chow-White
Keyword(s):  
Big Data ◽  
Human Body ◽  
Science And Technology Studies ◽  
Data Privacy ◽  
Personal Information ◽  
Digital Health ◽  
Social Constructions ◽  
Genomic Databases ◽  
The Social ◽  
Core Areas

Genomic big data is an emerging information technology, which presents new opportunities for medical innovation as well as new challenges to our current ethical, social and legal infrastructure. Rapid, affordable whole genomic sequencing translates patients’ most sensitive personal information into petabytes of digital health data. While a biomedical approach traditionally focuses on risks and benefits to the human body, the fields of communication and science and technology studies (STS) can provide some of the critical and theoretical tools necessary to navigate the newly emerging terrain of the human body as digital code. Core areas of expertise from these fields including the Internet, the network society and the social constructions of technology ground our discussion of the social implications of open access genomic databases, privacy and informational risk.Le « Big Data » en génomique est une technologie de l’information émergente, qui offre de nouvelles possibilités pour l’innovation médicale et présente de nouveaux défis pour nos structures éthique, sociale et juridique. Un séquençage génomique rapide et abordable, convertit les renseignements personnels les plus sensibles des patients en pétaoctets de données numériques de santé. Tandis que l’approche biomédicale traditionnellement se concentre sur les risques et les bénéfices pour la santé, les Études de la Communication, de la Science et de la Technologie (STS) peuvent fournir certains outils critiques et théoriques nécessaires afin d’explorer le terrain émergent de la représentation numérique du corps humain. Les domaines principaux de ces champs d’étude dont l’Internet, la société en réseau et les constructions sociales de la technologie, forment la base de notre discussion sur les implications sociales de l’accès ouvert aux bases de données génomiques, la confidentialité et les risques liés au stockage et la diffusion de l’information.

A Secure Protocol for High-Dimensional Big Data Providing Data Privacy

2020 ◽  
pp. 347-363
Author(s):  
Anitha J. ◽  
Prasad S. P.
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Data Privacy ◽  
Personal Information ◽  
Technological Development ◽  
High Dimensional ◽  
Sensitive Information ◽  
Data Anonymization ◽  
Secure Protocol ◽  
Data Owner

Due to recent technological development, a huge amount of data generated by social networking, sensor networks, internet, etc., adds more challenges when performing data storage and processing tasks. During PPDP, the collected data may contain sensitive information about the data owner. Directly releasing this for further processing may violate the privacy of the data owner, hence data modification is needed so that it does not disclose any personal information. The existing techniques of data anonymization have a fixed scheme with a small number of dimensions. There are various types of attacks on the privacy of data like linkage attack, homogeneity attack, and background knowledge attack. To provide an effective technique in big data to maintain data privacy and prevent linkage attacks, this paper proposes a privacy preserving protocol, UNION, for a multi-party data provider. Experiments show that this technique provides a better data utility to handle high dimensional data, and scalability with respect to the data size compared with existing anonymization techniques.

Privacy Prevention in Healthcare Data Using Big Data

2019 ◽  
Vol 16 (8) ◽  
pp. 3576-3581
Author(s):  
R. Aroul Canessane ◽  
J. Albert Mayan ◽  
R. DhanaLakshmi ◽  
Ragini Singh ◽  
Sushmita Bhowmik
Keyword(s):  
Big Data ◽  
Biomedical Research ◽  
Data Privacy ◽  
Personal Information ◽  
Healthcare Research ◽  
Individual Data ◽  
Relevant Paper ◽  
Healthcare Data ◽  
Big Data Privacy ◽  
Patient’S Information

The use of the patient’s information in biomedical research or healthcare research is increasing rapidly. We are using big data to generate and collect a large amount of personal information of patients. The security of patients individual data have turned into an extraordinary threat as it might prompt spillage of delicate data which can put the patient’s protection in danger. There are various measures which have been taken to protect the data from attack. The relevant paper reviews relevant topics in the context of healthcare research. We will discuss the consequences of big data privacy in healthcare research and a better way to improve the data privacy in healthcare research or biomedical research.

Combination of Access Control and De-Identification for Privacy Preserving in Big Data

2016 ◽  
Vol 10 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Amine Rahmani ◽  
Abdelmalek Amine ◽  
Reda Mohamed Hamou
Keyword(s):  
Big Data ◽  
Access Control ◽  
Data Privacy ◽  
Scientific Community ◽  
High Efficiency ◽  
Personal Information ◽  
Privacy Preserving ◽  
Big Data Privacy ◽  
Basic Concepts ◽  
Identification Techniques

Despite of its emergence and advantages in various domains, big data still suffers from major disadvantages. Timeless, scalability, and privacy are the main problems that hinder the advance of big data. Privacy preserving has become a wide search era within the scientific community. This paper covers the problem of privacy preserving over big data by combining both access control and data de-identification techniques in order to provide a powerful system. The aim of this system is to carry on all big data properties (volume, variety, velocity, veracity, and value) to ensure protection of users' identities. After many experiments and tests, our system shows high efficiency on detecting and hiding personal information while maintaining the utility of useful data. The remainder of this report is addressed in the presentation of some known works over a privacy preserving domain, the introduction of some basic concepts that are used to build our approach, the presentation of our system, and finally the display and discussion of the main results of our experiments.

scholarly journals Data protection regulation: a comparative law approach

2021 ◽  
Vol 2 (2) ◽  
pp. 33-53
Author(s):  
MarcusAbreu de Magalhaes
Keyword(s):  
Data Protection ◽  
Data Privacy ◽  
Data Transfer ◽  
Personal Information ◽  
Security Requirements ◽  
Comparative Approach ◽  
General Data Protection Regulation ◽  
Consumer Privacy ◽  
Privacy Law ◽  
Data Control

This paper aims to present a comparative approach to data protection regulations around the world. Most countries possess data protection laws in some level of detail. In order to compare structures of data control and compliance in dissimilar systems, the study selected four distinct arrangements : the European General Data Protection Regulation (GDPR); the California Consumer Privacy Act (CCPA); the Brazilian Digital Privacy Law, Lei Geral de Proteção de Dados Pessoais (LGPD); and the Chinese Data Privacy Framework, which is molded by a set of different regulations. The analysis was based in common key points of those regulations – territorial scope, consent and disclosure, data security requirements, data transfer, Data Protection Officer, awareness and training, and penalties – to explore the different policies and national goals. The paper argues that, in the landscape of the information based society, new law is needed to protect citizens’ rights to privacy and to bound harvesting and mining of personal information to ensure transparency, control, and compliance of the information economy.

Electronic Commerce and Data Privacy

2003 ◽  
pp. 213-238 ◽  
Author(s):  
Sandra C. Henderson ◽  
Charles A. Snyder ◽  
Terry A. Byrd
Keyword(s):  
Electronic Commerce ◽  
Data Privacy ◽  
Government Regulation ◽  
Personal Information ◽  
Self Regulation ◽  
Personal Data ◽  
Privacy Policies ◽  
Online Questionnaire ◽  
Privacy Concerns ◽  
Consumer Privacy

Electronic commerce (e-commerce) has had a profound effect on the way we conduct business. It has impacted economies, markets, industry structures, and the flow of products through the supply chain. Despite the phenomenal growth of e-commerce and the potential impact on the revenues of businesses, there are problems with the capabilities of this technology. Organizations are amassing huge quantities of personal data about consumers. As a result, consumers are very concerned about the protection of their personal information and they want something done about the problem.This study examined the relationships between consumer privacy concerns, actual e-commerce activity, the importance of privacy policies, and regulatory preference. Using a model developed from existing literature and theory, an online questionnaire was developed to gauge the concerns of consumers. The results indicated that consumers are concerned about the protection of their personal information and feel that privacy policies are important. Consumers also indicated that they preferred government regulation to industry self-regulation to protect their personal information.

Sign in / Sign up

Export Citation Format

Share Document